Friday, March 11, 2016
Sunday, March 6, 2016
ESRI Launched ArcGIS Earth vs Google Earth
ESRI is new to ArcGIS Earth. It has better resolution images than google earth, but it has much less option compare to Google Earth. Most of images in ArcGIS Earth are better then Google Earth, but short of Photosphere and street view. its GUI is much interactive. Thus they are new here and its version 1.0 just beginning. Download below and have a try.
See image Quality Demo in this Video
Friday, March 4, 2016
Calculation of Slope Length Factor LS Factor in ArcGIS
where A[r] is upslope contributing area per unit contour width, b [deg] is the slope, m and n are parameters, and a0 = 22.1m = 72.6ft is the length and b0 = 0.09 = 9% = 5.16deg is the slope of the standard USLE plot. The values of m (=0.6) and n (=1.3) were empirically derived.
The LS factor was then computed using Raster Calculator in ArcGIS to build an expression for estimating LS, based on flow accumulation and slope steepness.
The expression is:
In older Veriosn of ArcGIS as Follow: upto 9.3
(([flowacc] * resolution/22.1).Pow(0.6))*(((([slope]*0.01745).Sin)/0.09).Pow(1.3))*1.6
New Version of ArcGIS from 10.1 to Present as Follow
Power(("%flowacc%") * 30 / 22.1,0.6)*Power(Sin("%slope_deg%") * 0.01745 / 0.09,1.3)*1.6
where Pow (which then means power) is a function in the ArcGIS spatial Analyst
Wednesday, January 13, 2016
Thursday, December 17, 2015
Tuesday, November 24, 2015
Live Earth HD From Space (CAM-1)
International Space Station has Equipped with Earth Viewing HD cameras to See Earth Live. This is in Experimental mode. Sometime Live Stream may not be available due to Signal Problem in space, or Space station at Dark Side of Earth, Sometime Astronauts switching Live camera.. Notification will be displayed for such events. See Live video of Earth below.
Link to CAM-2
Link to CAM-2
Friday, October 30, 2015
List of GIS Topics for M.Tech or Ph.D Project
- Land use and Land cover analysis and Change detection. Even future Prediction.
- Change analysis of cost line using past data of satellites and find relation between climate change sea level rise.
- Impact of Climate change on Groundwater.
- Analysis of Groundwater Potential Zones using Remote Sensing and GIS, Using Geology, soil, strata chart, DEM data. Total 22 Layers approx. to run analysis.
- Network Mapping, Shortest route, Digital database of route for GPS tracking Device.
- Development of GIS Data Hosting Server.
- Flood Risk mapping, Identification of Danger zones and damage.
- Identification of Hydropower Sites Using DEM and model development for different criteria.
- Mapping of Normal and Abnormal route of cyclone and its damage assessment using past data and future prediction.
- Soil Erosion and Sediment Modelling using GIS
- Identification sites for solar power plant using solar radiation analysis and cloud cover analysis considering earth curvature.
- Identification of Minerals using Erdas Material Mapping, e.g. amount of Iron, Zinc in Soil.
- Develop a web application using ArcGIS Engine/Server
- Requried Software :- ArcGIS , Erdas,ENVI, IDRISI
- Estimate of crop yield of different crops by relating NDVI crop Health Index over a Study area and develop a suitable model. It considers time series data for different crop and different season.
- City Heat Centre mapping Using Thermal Data and also thermal mapping for different seasons and mark safe and unsafe zones when Air temperature reaches upper limit.
- Natural Forest loss Mapping by relation climate change data
- Impact of Thermal Power Plant on Surrounding Environment. It uses Wind Direction, Temperature data, Land use data Before Thermal Plant and after thermal plant and compare surrounding environment temperature NDVI, Land Changes etc.
- Perform Watershed analysis of and area, find runoff, Drainage Density, Suitability of area for irrigation project, Risk and safe zone mapping by comparing soil data and rainfall data.
- Glacial Melt analysis and its factor, e.g. change of snowline with time, and Prediction when it melts fully with suitable Mathematical model.
- Mapping of Humidity by collecting Ground data, for different month and its impact on different crops and vegetation.
- Traffic jam analysis using GIS, using traffic data, mark locations on road where possibility of traffic jam is possible if n/Number of vehicle cross per minute, and suggest suitable suggestion or development of new rout and its path for prevent jam.
- Watershed simulation and discharge estimation it use ArcSWAT
- Identification of best places for construction of DAM in Mountain region. This use Swat Model, Dem, Rainfall data and Multi-watershed.
- Identification of heat land in urban area. This use thermal band of throughout year. For summer and winter, even each month. At last you will be able to draw annual average surface temperature map and classify results.
- Impact of climate change on Water flow. This use ArcSWAT and climate data, Data of IMD.
Last Update April 2018
So you have decided your topic it's time to learn Advance GIS
Sometime barren land has same appeared as urban area, Rivers are dry
that appears as barren land. Even after final land use we think to add new
class. But cannot add. Sometime forest in Hill shade area and appear black.
Learn this all Everything how does with New Methods. More than Supervised
classification and Get 90% Accuracy. Also learn how to do change detection.
Like if urban area is increasing the how much area it takes from Agriculture or
Forest, How Landuse is changing w.r.t Each class. Calculate are in Km, or
Pixels. Lastly do accuracy report. Learn this everything. Only for LinkedIn
offer who reading this post. This is already discounted link. Lear at your
time. No time bound. Enrol now and watch more than 5 hrs step and your
time. You will also get valid
certificate also.
ArcSWAT is an watershed simulation model. Used for watershed, Water
resource planning, Planning of Hydropower projects. It typical model to run
with ArcGIS , Most of people facing error in SWAT Model. So, I have created a
complete unofficial tutorial of SWAT model with ArcGIS. In this I covered Data
download to final results. This include data preparation of SWAT model in
Depth. Configuring swat model from scratch. I demonstrated using A live study
area, from zero. I also covered custom data set for other countries to prepare
for which no data is available, including preparation of soil maps. I covered
to remove common error in weather data also. How to read output. How to manual
configure inside SWAT model
Wednesday, October 21, 2015
Tuesday, October 13, 2015
Subscribe to:
Posts (Atom)