The complexity of land use and land cover change (LULC) models is often attributed to spatial heterogeneity of the phenomena they try to emulate. The associated outcome uncertainty stems from a combination of model unknowns. Contrarily to the widely shared consensus on the importance of evaluating outcome uncertainty, little attention has been given to the role a well-structured spatially-expli...

We present a method to map annual landuse/land-cover (LULC) change using low-cost and consistent data from the MODIS satellite and Google Earth reference data. Our LULC maps cover Latin America and the Caribbean from years 2001 to 2009, have a 250-m pixel size, and include eight general classes. Maps were produced within 27 separate zonal biomes using the Random Forests classifier. We found tha...

Land cover, a critical variable in the epidemiology of kala-azar, can be remotely characterized by customizing and integrating "state-of-the-art" imagery at different spatial scales from different sensors onboard satellites. A study was conducted at four levels (national, state, district and village) investigating the role of land use/land cover (LULC) for leishmaniasis transmission resulting i...

Title of Document: SEMANTIC INTEGRATION OF GEOSPATIAL CONCEPTS – A STUDY OF LAND USE LAND COVER CLASSIFICATION SYSTEMS Hua Wei, Ph. D., 2011 Directed By: Professor John R. G. Townshend Department of Geography University of Maryland, College Park In GI Science, one of the most important interoperability issues relates to land use and land cover (LULC) data, because it is a key to the evaluation ...

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Mining activities and associated actions cause land-use/land-cover (LULC) changes across the world. The objective of this study were to evaluate historical impacts mining on surface biophysical characteristics, for first time, predict future in pattern vegetation cover land temperature (LST). In terms utilized data, satellite images Landsat, meteorological data Sungun mine Iran, Athabasca oil s...

With the opening up of the Landsat archive, global high resolution land cover maps have begun to appear. However, they often have only a small number of high level land cover classes and they are static products, corresponding to a particular period of time, e.g., the GlobeLand30 (GL30) map for 2010. The OpenStreetMap (OSM), in contrast, consists of a very detailed, dynamically updated, spatial...

This study uses a spatially-explicit land-use/land-cover (LULC) modeling approach to model and map the future (2016–2030) LULC of the area surrounding the Laguna de Bay of Philippines under three different scenarios: ‘business-as-usual’, ‘compact development’, and ‘high sprawl’ scenarios. The Laguna de Bay is the largest lake in the Philippines and an important natural resource for the populati...

0099-1112/07/7309–1029/$3.00/0 © 2007 American Society for Photogrammetry and Remote Sensing Abstract This study established spectral matching techniques (SMTs) to determine land-use and land-cover (LULC) and irrigated area classes from historical time-series (HTS-LULC) AVHRR 0.1-degree pathfinder satellite sensor data. The approach for HTS-LULC mapping and characterization was to develop “targ...

Improved and up-to-date land use/land cover (LULC) datasets are needed for intensively cropped regions such as the U.S. Central Great Plains, in order to support a variety of science and policy applications focused on understanding the role and response of the agricultural sector to environmental change issues. The Moderate Resolution Imaging Spectroradiometer (MODIS) holds considerable promise...