Landcover Classification and Mapping
نویسنده
چکیده
TABLE OF CONTENTS
منابع مشابه
Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands
For this research, the Random Forest (RF) classifier was used to evaluate the potential of simulated RADARSAT Constellation Mission (RCM) data for mapping landcover within peatlands. Alfred Bog, a large peatland complex in Southern Ontario, was used as a test case. The goal of this research was to prepare for the launch of the upcoming RCM by evaluating three simulated RCM polarizations for map...
متن کاملSignature extension through space for northern landcover classification: A comparison of radiometric correction methods
Northern landcover mapping for climate change and carbon modeling requires greater detail than what is available from coarse resolution data. Mapping landcover with medium resolution data from Landsat presents challenges due to differences in time and space between scene acquisitions required for full coverage. These differences cause landcover signatures to vary due to haze, solar geometry and...
متن کاملLand-cover Sub-pixel Classification Using Linear Mixture Model on Landsat Etm + Data in Egypt
One of the most important problems facing land cover mapping effort in Egypt is intensive and mixed landcover areas, which represent the majority of agricultural productive areas. This study was carried out to evaluate the possibility of using Linear Mixture Model as a sub pixel classification technique to extract fraction images from Landsat Enhanced Thematic Mapper data, which may help in fut...
متن کاملDevelopment of a 1-km landcover dataset of China using AVHRR data
This paper describes the development of a 1-km landcover dataset of China by using monthly NDVI data spanning April 1992 through March 1993. The method used combined unsupervised and supervised classification of NDVI data from Ž . AVHRR. It is composed of five steps: a unsupervised clustering of monthly AVHRR NDVI maximum value composites is Ž . performed using the ISOCLASS algorithm; b prelimi...
متن کاملDetection of Landcover Changes with Rapid Urbanization Using Remotely Sensed Data in and around Chongqing, China
Chongqing, as the central city of inland China, has been subject to especially fast economical development. With increasing population and urban development, various impacts on the surrounding environment, such as deforestation, urbanization and pollution, must be taken into consideration. In particular, decrease in vegetated area and disruption of local ecosystems due to urbanization has emerg...
متن کامل