Interpreting land use change through satellite imagery
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Interpreting land use change through satellite imagery

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Published by Dept. of Agriculture, Economics, Statistics, and Cooperatives Service : for sale by the Supt. of Docs., U.S. Govt. Print. Off. in [Washington] .
Written in English

Subjects:

  • Artificial satellites in geographical research,
  • Land use -- United States

Book details:

Edition Notes

StatementLinda K. Lee
SeriesAgricultural economic report ; no. 442, Agricultural economic report -- no. 442
ContributionsUnited States. Dept. of Agriculture. Economics, Statistics, and Cooperatives Service
The Physical Object
Paginationii, 18 p. ;
Number of Pages18
ID Numbers
Open LibraryOL13564499M

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This article examines the land-use and land-cover change in PEDA by using satellite remote sensing and GIS technologies. The specific objectives were: (i) to identify a method for coastal land-use and land-cover mapping; (ii) to apply this method to create a time series of land-use and land-cover maps; and (iii) to analyse the spatio-temporal.   (). Using satellite imagery and GIS for land‐use and land‐cover change mapping in an estuarine watershed. International Journal of Remote Sensing: Vol. 26, Remote Sensing and GIS for Estuarine Ecosystem Analysis, pp. Cited by: A fascinating introduction to the interpretation of satellite imagery—CD ROM D. Conway and the Maryland Space Grant Consortium present a fascinating introduction to the interpretation of satellite imagery, a technology of increasing importance for a wide variety of scientific applications. Prepared in association with the National Oceanic and Atmospheric. In this book, we study islands through the lens of Land Cover/Land Use Change (LCLUC) and the multi-scale and multi-thematic drivers of change. For instance, chapters report on the results of a meta-analysis to examine trends in published literature on islands, a satellite image time-series to track changes in urbanization, social surveys.

  Overall 95% accuracy of the land use/land cover maps indicates that the integration of supervised classification of satellite imagery with visual interpretation is an effective method for the documentation of changes in land use and cover of an area. 4. Conclusion. Changes in land cover and land use can tell dramatic stories about the rapid environmental changes that are occurring in places like the Great Lakes region of the United States. Assessing crop health Multispectral imagery can provide a new perspective on crop health and vigor. of Land use and land cover maps through a process called image classification. For the image classification process to be successfully, several factors should be considered including availability of quality Landsat imagery and secondary data, a precise classification process and user’s experiences and expertise of the procedures.   Satellite imagery and remote sensing data have been widely used in the last decades to identify land cover and land use types (Shamal & Weatherhead, ). Satellites are generally able to provide useful spatial and temporal information from agricultural land in a low-cost, quick, and easy way.

  Satellite images are like maps—they’re full of useful and interesting information as long as you have a key. Imagery can show how much a city has changed, how well crops are growing, where a fire is burning or when a storm is coming. To unlock the rich information comprising a satellite image, you need to begin with five basic steps: 1. Land Use/Land Cover Studies Using Satellite Images – A Case Study Abstract. Land Use/Land Cover Studies Using Satellite Images – A Case Study civil project report Land use/land cover information is essential for selection, planning and implementation of management strategies to meet the increasing demands for basic human needs and welfare of the ever growing population. manging the pilot phase of the Satellite Sentinel Project (SSP) from December to the summer of Through the analysis of satellite imagery and open source reports from Sudan, SSP was a watershed moment in the use of remote sensing to monitor the .   One of the detailed and useful ways to develop land use classification maps is use of geospatial techniques such as remote sensing and Geographic Information System (GIS). It vastly improves the selection of areas designated as agricultural, industrial and/or urban sector of a region. In Islamabad city and its surroundings, change in land use has been observed and new developments .