Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 143
A remote sensing based vegetation classification logic for global land cover analysis A remote sensing based vegetation classification logic for global land cover analysis
This article proposes a simple new logic for classifying global vegetation. The critical features of this classification are that 1) it is based on simple, observable, unambiguous characteristics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation, 2) the structural characteristics are remotely sensible so that...
Authors
Steven W. Running, Thomas R. Loveland, Lars L. Pierce, R.R. Nemani, E. Raymond Hunt
Large-area land-cover characterization—special Issue, foreword Large-area land-cover characterization—special Issue, foreword
No abstract available.
Authors
Thomas R. Loveland, J.W. Merchant
A vegetation classification logic-based on remote-sensing for use in global biogeochemical models A vegetation classification logic-based on remote-sensing for use in global biogeochemical models
A simple new classification logic for global vegetation is proposed. The critical features of this classification are that: it is based on simple, observable, unambiguous character- istics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation; the structural characteristics can be determined by remote sensing, so that...
Authors
Steven W. Running, Thomas R. Loveland, L.L. Pierce
Measuring phenological variability from satellite imagery Measuring phenological variability from satellite imagery
Vegetation phenological phenomena are closely related to seasonal dynamics of the lower atmosphere and are therefore important elements in global models and vegetation monitoring. Normalized difference vegetation index (NDVI) data derived from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) satellite sensor offer a means of...
Authors
Bradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. Ohlen
Designing global land cover databases to maximize utility—the US prototype Designing global land cover databases to maximize utility—the US prototype
One of the most pressing problems in global climate and ecosystem studies is a lack of adequate land cover data. Staff from the United States Geological Survey's EROS Data Center and the University of Nebraska have developed a United States prototype for a proposed global land cover characteristics database derived from 1-km Advanced Very High Resolution Radiometer satellite data. A...
Authors
B. C. Reed, Thomas R. Loveland, L. T. Steyaert, Jesslyn F. Brown, J.W. Merchant, D.O. Ohlen
Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies
Environmental modelers are testing and evaluating a prototype land cover characteristics database for the conterminous United States developed by the EROS Data Center of the U.S. Geological Survey and the University of Nebraska Center for Advanced Land Management Information Technologies. This database was developed from multi temporal, 1-kilometer advanced very high resolution...
Authors
Louis T. Steyaert, Thomas R. Loveland, Jesslyn F. Brown, Bradley C. Reed
Science and Products
Filter Total Items: 143
A remote sensing based vegetation classification logic for global land cover analysis A remote sensing based vegetation classification logic for global land cover analysis
This article proposes a simple new logic for classifying global vegetation. The critical features of this classification are that 1) it is based on simple, observable, unambiguous characteristics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation, 2) the structural characteristics are remotely sensible so that...
Authors
Steven W. Running, Thomas R. Loveland, Lars L. Pierce, R.R. Nemani, E. Raymond Hunt
Large-area land-cover characterization—special Issue, foreword Large-area land-cover characterization—special Issue, foreword
No abstract available.
Authors
Thomas R. Loveland, J.W. Merchant
A vegetation classification logic-based on remote-sensing for use in global biogeochemical models A vegetation classification logic-based on remote-sensing for use in global biogeochemical models
A simple new classification logic for global vegetation is proposed. The critical features of this classification are that: it is based on simple, observable, unambiguous character- istics of vegetation structure that are important to ecosystem biogeochemistry and can be measured in the field for validation; the structural characteristics can be determined by remote sensing, so that...
Authors
Steven W. Running, Thomas R. Loveland, L.L. Pierce
Measuring phenological variability from satellite imagery Measuring phenological variability from satellite imagery
Vegetation phenological phenomena are closely related to seasonal dynamics of the lower atmosphere and are therefore important elements in global models and vegetation monitoring. Normalized difference vegetation index (NDVI) data derived from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) satellite sensor offer a means of...
Authors
Bradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. Ohlen
Designing global land cover databases to maximize utility—the US prototype Designing global land cover databases to maximize utility—the US prototype
One of the most pressing problems in global climate and ecosystem studies is a lack of adequate land cover data. Staff from the United States Geological Survey's EROS Data Center and the University of Nebraska have developed a United States prototype for a proposed global land cover characteristics database derived from 1-km Advanced Very High Resolution Radiometer satellite data. A...
Authors
B. C. Reed, Thomas R. Loveland, L. T. Steyaert, Jesslyn F. Brown, J.W. Merchant, D.O. Ohlen
Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies Integration of environmental simulation models with satellite remote sensing and geographic information systems technologies: case studies
Environmental modelers are testing and evaluating a prototype land cover characteristics database for the conterminous United States developed by the EROS Data Center of the U.S. Geological Survey and the University of Nebraska Center for Advanced Land Management Information Technologies. This database was developed from multi temporal, 1-kilometer advanced very high resolution...
Authors
Louis T. Steyaert, Thomas R. Loveland, Jesslyn F. Brown, Bradley C. Reed