NATIONAL LAND COVER AND RESOURCE STATISTICS

Classifying Land-Cover Using Texture Statistics

We present a method for labeling the land-cover in an aerial image using image texture statistics and a trained neural network to interpret the texture data. The introduction includes a brief discussion of land-cover mapping and the types of land-cover classes we would like to identify. There is a section describing the texture statistics used and the Gray Level Cooccurrence Matrix (GLCM) for c...

Application of remote sensing and geographical information system in mapping land cover of the national park

The study was conducted with the objective of mapping landscape cover of Nechsar National park in Ethiopia to produce spatially accurate and timely information on land use and changing pattern. Monitoring provides the planners and decision-makers with required information about the current state of its development and the nature of changes that have occurred. Remote sensing and Geographical Inf...

Land-cover and Land-use Mapping

Modeling Land-use and Land-cover Change

Models are used in a variety of fields, including land change science, to better understand the dynamics of systems, to develop hypotheses that can be tested empirically, and to make predictions and/or evaluate scenarios for use in assessment activities. Modeling is an important component of each of the three foci outlined in the science plan of the Land-use and -cover change (LUCC) project (Tu...

MODIS Enhanced Land Cover and Land Cover Change Product Algorithm Theoretical Basis Documents (ATBD) Version 2.0 MODIS Enhanced Land Cover and Land Cover Change Principal Investigator: