A digital elevation model (DEM) or sometimes referred to as a digital terrain model (DTM) is a quantitative representation of the topography of the Earth (or sometimes other surfaces) in a digital format. They are a common component of geographic information systems /remote sensing and are usually represented by cartesian coordinates and numerical descriptions of altitude. In contrast with topographical vector maps, the information is stored in a raster format. That is, the map will normally divide the area into a rectangular grid of cells or pixels and store the elevation of each one as a DN value.

Traditionally most common DEMs used in the Geomatics industry only contain elevation values of the true ground’s surface but DEMs can also sometimes contain other features found upon the ground’s surface as well. When it contains all features it is often referred to as a digital surface (DSM). Digital surface models contain elevation values representing the ground as well as any other objects such as buildings and trees.

The resolution of the DEM, or the distance between adjacent grid points (often the size of the cell or pixel), is a critical parameter in determining the amount of detail that a user should except to represent in the DEM. The smaller the resolution, the more details or features that will be present, e.g. a 1 m resolution DEM will contain more details then a 20 m one and be better suited for hydrological analyses.

DEMs are used as a source of elevation (and to create other digital terrain models) for many different purposes such as:

• to orthorectify imagery
• as a source of topographic information and to create contour lines from
• to identify geological structures in topography
• to identify risk areas and hydrological flow patterns
• to identify flood risk areas
• to determine accessibility
• to identify regions of visibility for radio or cell towers
• to predict how the terrain can effect signal strength and reflection
• and many more uses

Digital elevation models may be prepared in a number of ways, but they are frequently obtained by remote sensing rather than direct survey. Older methods of generating DEMs often involved interpolating digital contour maps from aerial photography produced by direct survey and interpretation of the surface.

Many mapping agencies produce their own DEMs, often of a higher resolution and quality, but frequently these have to be purchased, sometimes at considerable cost. The two methods of creating DEMs that are covered on this web site deal with LIDAR and Photogrammetry methods.

• MacKinnon E (2003) Surface Modeling and LIDAR Validation Middleton, Nova Scotia: Applied Geomatics Research Group, Centre of Geographic Sciences, 49 pages
• MacKinnon E, Sangster F & Hynes D (1999) Makkovik, Labrador – 3D modeling and Data Integration presented at the Bedford Institute of Oceanography in Dartmouth, Nova Scotia

After consulting with our agent we decided to do some basic cosmetic renovations to the house to increase the value of the property and make it easier to sell before we listed. When we purchased the house in 2007, we paid $260 k for it with the intent of renovating over time (some of which happened slowly over time). The house was a split level ranch detached unit that was customized with a large addition, providing yet another split level and a large garage / workshop to it. The interior and decor was very dated, kind of 70′s style (wall to wall carpet, strange colors, etc.) but that didn’t bother us at the time as this would be our first house and was all we could really afford in this neighborhood at the time.

After several weeks of renovations and investing about $10k we were able to sell the house only 4 days after listing it for $370k. Below I have included some photos of our place before and after I renovated it to show the big difference. Renovations included replacing all floors, painting the walls throughout, finishing the stairs, replacing the counter-tops, updating all plumbing, electrical, adding a fourth bedroom, replacing the deck etc.

It was kind of like one of those renovating shows that you see on television and was pretty fun to have the opportunity to do. Below are some photos of the house before we moved in (on the left) and then photos of the house after we had finished all of the renovations and prepared the place for the real estate market.

Wall to wall carpet with an industrial hotel look …

The master bedroom with an open concept upper and lower level was one of the neat unique featured of the house.

Not every place is lucky enough to come with Ralphs carpet!

The fourth bedroom was built mainly to balance out the 2 bedrooms per level, and was the first project in the house that I tackled shortly after moving in.

So as you can see from the before photos on the left and the after photos on the right, there was a lot of work involved to bring the house up to what we thought it should be. Funny though that all though I did some work from time to time as we could afford it and I had the time, the house didn’t really become all that nice until we decided to leave!

Sometimes commonly known as quantitative geomorphology, digital terrain modeling is thecomputer processing of raster grid arrays of elevation data. Using Geographic information system (GIS) technology we can further enable terrain-modeling results to be combined with non topographic spatial data creating several value added products.

Terrain Models are derived from data represented by digital elevation models (DEMs) and can include shaded relief models,
slope and aspect models, perspective scene generation, and drainage basin analysis (and other models).

The physiogeographic characteristics of a surface can often be determined by elevation, slope, and its orientation, or aspect. Together they can virtually define the surface plane completely, and provide valuable information for land use planning and other aspects of geomatics.

Traditional images in geomatics are often two dimensional, meaning that all data in the image can be referenced by X and Y coordinates. Three dimensional images (3-D) incorporate a third dimension (the Z component) which represents the elevation or depth aspect of the data. To incorporate it into an image requires creating special geomatics value added products that allow users to perceive the presence of the third dimension into a traditional two dimensional setting
(because most paper and computer screens are flat or two dimensional).

In GIS applications it is often beneficial to add a texture component to the spatial data that will help the user get a feeling for the vertical depth of the data by emphasizing the elevation. To do this you need to create a shaded relief model from the DEM to model into the data.

Shaded relief models use a defined light source at a fixed location it indicate terrain displacements using a shadow effect from evaluating the aspect and slope relative to the light’s azimuth angle and altitude achieved with varying grey scale tones resulting in the darkening of one side of terrain features, such as hills and ridges (the darker the shading, the steeper the slope).

The shadow direction is affected by the light’s azimuth setting and shadow length is affected by the altitude component. The models provide subtle shadings which we naturally perceive as depth, helping to make the image look three dimensional. A drawback with this type of model is that depending on the placement of the illumination source, the eye and brain often see different things. Adding color to the shaded relief images utilizes chromo stereoscopic techniques to help emphasize the depth of the Z dimension of the data.

Color shaded relief models (CSR) are usually graded with a pseudo color ramp from cooler (darker) colors representing
lower elevations to warmer (brighter) colors depicting greater elevations. Most imagery and data that we view in geomatics is typically viewed vertical downwards toward the map or image. Occasionally it is useful to change that default traditional view because additional topographic information can often be revealed by observing the same elevation data obliquely (commonly known as a three dimensional perspective view). Data integration and overlays are very common with perspective views because it allows traditional flat images to become new products by incorporating an elevation component and providing a new look at the same data.  It is also probably used more so for visual appeal then as another method of extracting data.

The image above and to the left is a perspective view of a color shaded relief created from high resolution LIDAR using PCI Geomatica software. The oblique angle view point looking down at the image allows the observer to easily identify many of the data’s features such as trees, cars and buildings.

The perspective scene in the image on the left is a representation of an urban terrain model including buildings and other various features. It was created using ESRI ArcScene software and high resolution LIDAR digital point data. The artificial oblique view allows the observer to obtain a unique glimpse from above looking down in a southerly direction towards City Hall of downtown Toronto, Ontario.

More information on Terrain modeling and examples

• MacKinnon E (2003) Surface Modeling and LIDAR Validation Middleton, Nova Scotia: Applied Geomatics Research Group, Centre of Geographic Sciences, 49 pages
• MacKinnon E (2004) Three Dimensional Flood Modeling with High Resolution LIDAR (Graduate Thesis) Middleton, Nova Scotia: Applied Geomatics Research Group, Centre of Geographic Sciences, 200 pages
• MacKinnon E (2005) Three Dimensional Flood Modeling with High Resolution LIDAR (2005 CIG Conference Proceeding) Ottawa, Ontario:Canadian Institute of Geomatics, 8 pages
• MacKinnon E, Sangster F & Hynes D (1999)  Geological Data Integration: Makkovik, Labrador Lawerncetown, Nova Scotia: Centre of Geographic Sciences, 12 pages
• MacKinnon E (2004)  3D Modeling with High Resolution LIDAR - presented at the GeoTec Conference in Toronto,Ontario and displayed at the Applied Geomatics Research Group in Middleton, Nova Scotia
• MacKinnon E (2004)  Bouctouche, NewBrunswick – Color Shaded Relief - presented at CCAF annual general meeting held at the University of Moncton in Moncton, New Brunswick, and displayed at the Applied Geomatics Research Group in Middleton, Nova Scotia
• MacKinnon E (2004) FLood Simulation Modeling with High Resolution LIDAR - presented at CCAF annual general meeting held at the University of Moncton in Moncton, New Brunswick, and displayed at the Applied Geomatics Research Group in Middleton, Nova Scotia
• McCurdy C, MacKinnon E & Lynds T (1999) Integration of Digital elevation Models and Imagery : Terrain Analysis of the Antigonish Highlands  - presented at the Center of Geographic Sciences in Lawrencetown, Nova Scotia

• Digital Elevation Models (DEMs)
• Shaded Relief Models
• Color Shaded Relief Models (CSR)
• Creating a CSR model in Geomatica v9.1
• Slope Models
• Aspect Models
• Perspective View Models

I have been designing web sites on and off now for over ten years kind of as a hobby under various aliases such as maritimewebdesign.com – Most often the sites I have created have been for myself, for friends or sites that I have created and sold to generate funds to cover my sites expenses . Sometimes, along the way I have picked up a few clients and have had the opportunity to provide my skills for others. I am always interested in making other peoples web sites so if you are interested in having me design and make your web site, then contact me, I would love to hear from you.

I made a small portfolio section to the site containing a few examples of web sites that I have created and some that I have redesigned from existing designs. The sites are HTML – CSS – PHP based and WordPress CMS.

Some of my many site as well as ones that I have created include:

CanadianGIS.com
GISjobs.ca
GoGeomatics.ca
EnvironmentGreen.com

The main goal of the project was to generate flood maps and DEMs with better than 30 cm vertical accuracy for the coastal area of southeastern New Brunswick in support of CCAF Project A591. The CCAF project was a venture partnered with Environment Canada, Geological Survey of Canada, Natural Resources Canada, New Brunswick Resources and Energy, Parks Canada, Universite de Moncton, Nova Scotia Community College (AGRG & COGS) and the University of New Brunswick. The aim of the CCAF project team was to collaborate together and generate accurate maps and information that would quantify the impacts of climate change, sea-level rise, storm surge events and coastal erosion in support of sustainable management and the development of adaptation strategies.

The project involved mapping areas at risk to coastal flooding from storm surge events. High resolution elevation data acquired from an airborne LIDAR sensor was used to interpolate three dimensional digital elevation models of the coastal topography and to accurately model flooding for the selec

ted case study areas in southeast New Brunswick. Based upon the LIDAR DEM and the provided predicted sea-level rise information from storm surge and climate change models, several flood risk maps of the coastal zone of New Brunswick were produced.Further analysis of the spatial relationships between existing structures and land cover types and predicted flood risk maps will be done in collaboration with other sub-projects of the CCAF project committee.

The project was the major portion of the advanced diploma in Applied Geomatics Research that I obtained from the Center of Geographic Sciences (COGS). This web page is intended as a summary portfolio of the project, with links to the related components such as papers, presentations, posters, scripts, images etc.

STUDY AREA

The study area for the project consisted of the coastal Gulf Shore region of southeastern New Brunswick from Kouchibouguac National Park south to Jourimain Island. The area was split into ten smaller polygons, based on sub-project requirements of the CCAF team and comprised the areas of highest scientific interest and significant priority for governments and coastal stake holders.The polygons were given the following names: Kouchibouguac National Park,Cap Lumiere, La Dune, Bouctouche, Cormierville, Ile Cocagne, Cap Pele, Shemogue Harbour, Little Shemogue, and Cape Jourimain.

Literature Review

The literature review consisted of a paper and a presentation that took place during September and October of 2003 at the Applied Geomatics Research Group facility in Middleton, Nova Scotia.

• MacKinnon E (2003) AGRG Literature Review Middleton, NS: Applied Geomatics Research Group, Centre of Geographic Sciences, 11 pages
• MacKinnon E (2003) Coastal Geomorphological 3D Modeling with LIDAR presented at the Applied Geomatics Research Group, Centre of Geographic Sciences; Middleton, Nova Scotia

Project Proposal

All students were required to construct a proposal for their respective projects even though we were basically all ready committed to complete the project and funding had already been secured prior to our presence. Also in my case, I was already 6 months into the project when I was writing the proposal. The project proposal consisted of a paper and a presentation that took place during September and October of 2003 at the Applied Geomatics Research Group facility in Middleton, Nova Scotia.

• MacKinnon E (2003) Sea-Level Rise and Climate Change on the Coastal Zone of southeastern New BrunswickMiddleton, NS: Applied Geomatics Research
  Group, Centre of Geographic Sciences, 20 pages
• MacKinnon E (2003) Impacts of Sea-Level Rise on the Coastal Zone of southeastern New Brunswick presented at the Applied Geomatics Research Group, Centre of Geographic Sciences; Middleton, Nova Scotia

Final Paper and Presentation

The final paper was prepared to summarize the entire project, the report was rather lengthy with over 200 pages of content, the PDF version had to have all image resolutions degraded to allow it to be posted to the site and note that it is still relatively a large file (over 20 mb).

Final presentations were given at the CCAF annual general meeting at the University of Moncton in New Brunswick and the 2004 Geomatics Atlantic Conference at the University of New Brunswick in Fredericton, New Brunswick

• MacKinnon E (2004) Three Dimensional Flood Modeling with High Resolution LIDAR Middleton, NS: Applied Geomatics Research Group, Centre of Geographic
  Sciences, 200 pages MacKinnon E (2004) Three Dimensional Flood Modeling with High Resolution LIDAR presented at the University of Moncton, New Brunswick and also presented at the Centre of Geographic Sciences in Lawrencetown , Nova Scotia

Other Related Papers and Presentations

I have presented this project at the 2004 GeoTec Conference in Toronto, Ontario, the 2004 Geomatics Atlantic Conference and at the 98th Canadian Institute of Geomatics Conference in Ottawa, Ontario.

• MacKinnon E (2005) Three Dimensional Flood Modeling with High Resolution LIDAR Ottawa, Ont: Canadian Institute of Geomatics, 8 pages
• MacKinnon E (2005) Three Dimensional Flood Modeling with High Resolution LIDAR presented at the Canadian Institute of Geomatics 2005 Conference held in Ottawa, Ontario
• Webster T & MacKinnon E (2004) Flood Risk Mapping using LIDAR, SE NB Climate Change Action Fund presented at Geomatics Atlantic 2004 Conference held at the University of New Brunswick in Fredericton, New Brunswick

Scripts

Several scripts were written for this project to aid with the automation of repeat data processing. EASI scripts were written and used with PCI and AML scripts were written and used with ESRI ArcINFO 9x workstation.

• Bonnycastle A & MacKinnon E (2003) TERRA_IMPORT.aml based on previous AGRG AML script written by Christian M,Dickie S, & MacKinnon F
• Bonnycastle A, MacKinnon E & Miline T (2003) TILE_GRID.aml
• Bonnycastle A, MacKinnon E & Miline T (2003) TILE_GRID.aml – this version was designed to create the Allhits surface grids
• MacKinnon E (2004) Flood_BT.mod - EASI script that was designed to create flood images of the LIDAR DEM (a different version was created for each study area)
• MacKinnon E (2004) Flood_CP_anim.mod - EASI script that was designed to create flood images to incorporate into the flood animations (a different version was created for each study area)

Images

Images submitted to posted on the Environment Canada web site:

• MacKinnon E (2003)Study area map with a LandSat background posted on the Environment Canada web site
• MacKinnon E (2004)Study area map with a LandSat background – Updated 2004 version
• MacKinnon E (2004) CapPele flood extent layer integrated with a color shaded relief (CSR) of the Point du Chene, New Brunswick area – posted on the Environment Canada web site
• MacKinnon E (2004) Ground only color shaded relief (CSR) of the Point du Chene, and Shediac, New Brunswick areas – posted on the Environment Canada web site
• MacKinnon E (2004) 3D color shaded relief (CSR) of Bouctouche, New Brunswick area with a church and several buildings easily visible (note: there is an exaggeration of 8 times orthometric height) – posted on the Environment Canada web site
• MacKinnon E (2004) Allhits color shaded relief (CSR) of the Shediac, New Brunswick area – posted on the Environment Canada web site

Animations

• MacKinnon E (2004) Three dimensional flood simulation – This is a simulated flood from sea level to 5m integrated with a color shaded relief DSM
• MacKinnon E (2004) Three dimensional fly over simulation - LIDAR All hits surface with a color orthophoto mosaic draped on top

Posters

Several posters were created for this project with some of them being presented at major
conferences. All posters were relatively large and hard to represent on a web site, so most cases these are low resolution graphic representations, and not meant to be the actual posters.

• MacKinnon E (2003) New Brunswick High Precision Network and AGRG
  2003/2004 LIDAR Zones presented at Geomatics Atlantic Conference 2003
  (Wolfville, Nova Scotia) and posted at the AGRG (Middleton, Nova Scotia)
• MacKinnon E (2003) AGRG LIDAR Ground Validation Campaign 2003 presented at Geomatics Atlantic Conference 2003 (Wolfville, Nova Scotia)
• MacKinnon E (2004) 3D Modeling with High Resolution LIDARpresented at the GeoTec Conference (Toronto, Ontario) and posted at the AGRG (Middleton, Nova Scotia)
• MacKinnon E (2004) FLood Simulation Modeling with High Resolution Modelingposted at the AGRG (Middleton, Nova Scotia) MacKinnon E (2004) Bouctouche, New Brunswick – Color Shaded Relief presented at CCAF annual general meeting held
  at the University of Moncton (Moncton, New Brunswick), and posted at the AGRG (Middleton, Nova Scotia)

Related Links

COGS – (Center of Geographic Sciences)

AGRG – (Applied Geomatics Research Group)

Environment Canada

PCI Geomatics

ESRI

Leica Geosystems GPS

Canadian Institute of Geomatics

COGS Applied Geomatics Research Course Descriptions

5033 Research Methods

The primary objective of this course is to prepare the student to undertake his/her individual research in the second semester. The standard components in a research project are: literature review, methodology, proposal writing, and proposal presentation.

5035 Advanced Data Processing

The main data sets involved in this course will consist of information collected under the CFI funding. The data sets include: LIDAR, CASI, Ikonos and digital aerial photography. Other field data sets will be used and integrated with the analysis. Along with technical papers associated with the assignment data processing, each student will select a specific application of the data and make a presentation at the end of the term as well as write a technical report on his/her activity

5041 Directed Research Applications

This course is designed to provide students with the opportunity to engage in selected research applications. There will be requirements to conduct literature reviews, investigate specific software tools and techniques, and develop various graphical user interfaces and analytical tools.

6040 Research Project

The research project is a major component of the AGR program. It fully occupies the second and third semesters. During the first semester, as part of the normal course load, each student completes a research proposal. The proposal describes the research
problem, literature review, methodology, time lines and deliverables. Project management in the second semester includes weekly meetings with his/her supervisor and monthly presentations to the program research committee (all faculty). Many of the research projects involve collaboration with external clients. In which case, copies of
the proposal, deliverables and final report are given to the external client as well as maintained by AGRG. The research project meets the Work Experience requirements for the Applied Geomatics Research Program.

LIDAR has become a major portion of my geomatics career and was the main focus of my graduate research projectthat I completed at the Applied Geomatics Research Group (AGRG) and the Centre of Geographic Sciences (COGS) in Nova Scotia. The data that I processed and products that I generated while at the AGRG are helping Environment Canada and other Government Organizations to create adaptation strategies to coastal flooding problems in the Maritime Provinces. This section of my site is meant to provide a brief understanding of LIDAR technology while demonstrating some of the highlights of my graduate work and other LIDAR projects that I have been involved with.

Basic overview of LIDAR

Most LIDAR units are airborne types, so this next statement refers mainly to that type of LIDAR but I will also later on go into detail about Terrestrial LIDAR scanning as well. The LIDAR unit uses a high precision Global Position System (GPS) and an Inertial Measurement Unit (IMU) to determine the location and measure the attitude of the aircraft so that the ground location of the return pulse can be accurately determined. The LIDAR sensor produces a series of point measurements that consists of geographic location (X & Y) and height (Z) of both natural and man-made features, and can be further processed to produce several different products and integrated into a Geographic Information System (GIS).

Data produced from a LIDAR sensor in its most common form, is often represented by a series of spatial coordinates (or a 3D point cloud) in an American Standard Code for Information Interchange file (ASCII), or LAS file format. The LAS file format is a public file format for the interchange of LIDAR data between vendors and customers. This binary file format is an alternative to proprietary systems or the generic ASCII file interchange system used by many companies.

The data in the file is recorded in a tabular format where each line has coordinate information separated by a common delimiter. The data can include other attribute information for each point as well. There are additional ways to represent LIDAR data such as LAS format, which is an alternative to the generic ASCII file format used by many companies.

Resultant LIDAR data is usually a very dense network of coordinate points and can often contain millions of measurements for a given area. This can result into large file sizes, depending on the collection area and data resolution, which has been known to be difficult to handle with the majority of common off the shelf software packages. Continue to my 2004 LIDAR research project.

LIDAR LINKS

• 2004 LiDAR Industry Directory
• The Lowdown on LIDAR, by Robert A. Fowler, EOM Archives
• LIDAR for Flood Mapping, by Robert A. Fowler, EOM Current Issues
• Imaging Laser Altimetry
• Find Jobs in LIDAR

Find out more about LIDAR and check out some of my LIDAR work

Simply click on the image below to enlarge it to expose all of the map, then find out where you are located and look for the zone and row that matches your area.

The site has evolved slightly with a few functions or sections being added to it as time went on but it has always been primarily used to promote the Canadian GIS industry and to share information with other Canadians that also have an interest in GIS. It also went well together with GISjobs.ca, another GIS site that I created to help Geomatics students find Canadian GIS jobs much easier. GISjobs.ca turned out to be a real success and eventually led to the creation of GoGeomatics, a Canadian Geomatics job board site that allowed people to post GIS jobs for free.

CanadianGIS.com helps provide people with resources about Canadian GIS data, basic information about Canadian companies that provide GIS services, locations of Canadian data and maps, information about GIS events, places to find Canadian GIS employment and education info and many other great resources. Content for the site been created by me and a few volunteers with some has also been supplied by various GIS companies and academic institutions.

If you have not yet checked the site out then I encourage you to go and see for your self, and if you discover that there is information related to Canadian GIS resources that I have missed then please do let me know. – Join the Canadian GIS LinkedIn Group 

 regards,

Ted MacKinnon -Geomatics Specialist

tmackinnon.com

Contact Me: email

Twitter: tedmackinnon

LinkedIn: tedmackinnon

FaceBook: ted.mackinnon

It has become a very large commercial sector serving local citizens and visitors because of its central location in Northern Ontario and also has a busy rail line and airport. The pulp and paper mill is probably the largest industry here but it appears that agriculture & tourism also plays a major role here (mostly camping / hunting & fishing tourists I would guess).

They have a town’s mascot, known as Max the Moose, a large cement statue whom stands 18 feet tall and weighs nine tons, found outside the Dryden Information Centre. It may be pretty cool to have a moose that big but I think they could have put a little work into it to make it look a little better (… I will need to go get a picture of that before I leave and add it … ).

Dryden is the home town of NHL super star hockey player  Chris Pronger (currently playing hockey with the Philadelphia Flyers). He even has the local arena named after him with a digital sign providing the town with important information like “It’s COLD outside!”  (see photo) – I would hope that most people here would be able to figure that out with out having somebody tell them about it (especially since you have to be outside to read the sign – ???) but sometimes you never do know …

The town boasts a motto of “The Great Canadian Experience” well if that’s the case I have yet to feel that special experience yet.  In fact we have been having some bad luck with the weather  (gotta love snow in October ) and havebeen basically stuck here for almost three weeks, getting only a few flights here and there.

So I should have lots of time to make another Dryden post or two with more info, summary of what I think about this place and other sarcastic comments off course…

It is kind of like the Bill Murray movie “Ground Hog Day” where a TV weatherman who, during a hated assignment covering the annual Groundhog Day event in Punxsutawney (a town just like Dryden I am sure), finds himself repeating the same day over and over again. For us it has been having to eat in the same restaurants over and over …

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It does have an extensive water system fed by the English River into what may appear as an infinite amount of lakes, ponds, streams and rivers. Lots of wildlife too, on my travels here I have saw several black bears, coyotes, deer, moose, eagles, rabbits and various types of birds (Our project areas are actually a few hours drive north of the town so sometimes I have been spending up to six hours a day traveling on dirt roads and secondary roads).

 In front of one of the bar / restaurants in town is an old Seabee amphibian bush plane, somewhat odd type of lawn ornament but it seems to fit in here none the less. The town was a little different then most in Ontario as we noticed that they had several restaurants that were not open on Sundays or holidays (such as Labor Day) witch allowed Subway to benefit from. 

The weather has been great while we are here so there has been no time to do much extra curricular activities, like checking out the local beach or some of the several recreational trails in and around town.

Perhaps someday I when I have lots of money and free time I will come back and rent a float plane to go check out some of the great places to go camping and fishing …