Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 142
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 repeatable an
Authors
Steven W. Running, Thomas R. Loveland, L.L. Pierce
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 efficiently and obj
Authors
Bradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. Ohlen
Large-area land-cover characterization—special Issue, foreword
No abstract available.
Authors
Thomas R. Loveland, J.W. Merchant
Designing global land cover databases to maximize utility—the US prototype
No abstract available.
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
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 radiometer (AVHRR)
Authors
Louis T. Steyaert, Thomas R. Loveland, Jesslyn F. Brown, Bradley C. Reed
Using multisource data in global land-cover characterization: concepts, requirements, and methods
Global land-cover data are needed as baseline information for global change research. Multisource data, both coarse resolution satellite data and ancillary data, were used to produce a land-cover characteristics database for the conterqinous United States. Ancillary data, including elevation and ecological region data sets, were critical to the development, refinement, and information content of e
Authors
Jesslyn F. Brown, Thomas R. Loveland, James W. Merchant, Bradley C. Reed, Donald O. Ohlen
Experimental AVHRR land data sets for environmental monitoring and modeling
No abstract available.
Authors
Thomas R. Loveland, D.O. Ohlen
Organizations challenged by global database development
Several international programs have identified the need for a global 1-kilometer spatial database for land cover and land characterization studies. In 1992, the US Geological Survey (USGS) EROS Data Center (EDC), the European Space Agency (ESA), the National Oceanic and Atmospheric Administration (NOAA) and the National Aeronautics and Space Administration (NASA) will collect and archive all 1-kil
Authors
J. A. Sturdevant, J.C. Eidenshink, Thomas R. Loveland
Development of a land-cover characteristics database for the conterminous U.S.
Information regarding the characteristics and spatial distribution of the Earth's land cover is critical to global environmental research. A prototype land-cover database for the conterminous United States designed for use in a variety of global modelling, monitoring, mapping, and analytical endeavors has been created. The resultant database contains multiple layers, including the source AVHRR dat
Authors
Thomas R. Loveland, J.W. Merchant, D.O. Ohlen, Jesslyn F. Brown
Seasonal vegetation monitoring with AVHRR data for grasshopper and locust control in West Africa
No abstract available.
Authors
G. Gray Tappan, S. M. Howard, Thomas Loveland, Dean J. Tyler, D. G. Moore
Pilot project for seasonal vegetation monitoring in support of grasshopper and locust control in West Africa
No abstract available.
Authors
G. Gray Tappan, Thomas Loveland, Donald G. Orr, D. G. Moore, S. M. Howard, Dean J. Tyler
A guide for the use of digital elevation model data for making soil surveys
The intent of this publication is twofold: (1) to serve as a user guide for soil scientists and others interested in learning about the value and use of digital elevation model (DEM) data in making soil surveys and (2) to provide documentation of the Soil Landscape Analysis Project (SLAP). This publication provides a step-by-step guide on how digital slope-class maps are adjusted to topographic ma
Authors
A. A. Klingebiel, Emil H. Horvath, William U. Reybold, D. G. Moore, E. A. Fosnight, Thomas R. Loveland
Science and Products
Filter Total Items: 142
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 repeatable an
Authors
Steven W. Running, Thomas R. Loveland, L.L. Pierce
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 efficiently and obj
Authors
Bradley C. Reed, Jesslyn F. Brown, D. Vanderzee, Thomas R. Loveland, James W. Merchant, Donald O. Ohlen
Large-area land-cover characterization—special Issue, foreword
No abstract available.
Authors
Thomas R. Loveland, J.W. Merchant
Designing global land cover databases to maximize utility—the US prototype
No abstract available.
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
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 radiometer (AVHRR)
Authors
Louis T. Steyaert, Thomas R. Loveland, Jesslyn F. Brown, Bradley C. Reed
Using multisource data in global land-cover characterization: concepts, requirements, and methods
Global land-cover data are needed as baseline information for global change research. Multisource data, both coarse resolution satellite data and ancillary data, were used to produce a land-cover characteristics database for the conterqinous United States. Ancillary data, including elevation and ecological region data sets, were critical to the development, refinement, and information content of e
Authors
Jesslyn F. Brown, Thomas R. Loveland, James W. Merchant, Bradley C. Reed, Donald O. Ohlen
Experimental AVHRR land data sets for environmental monitoring and modeling
No abstract available.
Authors
Thomas R. Loveland, D.O. Ohlen
Organizations challenged by global database development
Several international programs have identified the need for a global 1-kilometer spatial database for land cover and land characterization studies. In 1992, the US Geological Survey (USGS) EROS Data Center (EDC), the European Space Agency (ESA), the National Oceanic and Atmospheric Administration (NOAA) and the National Aeronautics and Space Administration (NASA) will collect and archive all 1-kil
Authors
J. A. Sturdevant, J.C. Eidenshink, Thomas R. Loveland
Development of a land-cover characteristics database for the conterminous U.S.
Information regarding the characteristics and spatial distribution of the Earth's land cover is critical to global environmental research. A prototype land-cover database for the conterminous United States designed for use in a variety of global modelling, monitoring, mapping, and analytical endeavors has been created. The resultant database contains multiple layers, including the source AVHRR dat
Authors
Thomas R. Loveland, J.W. Merchant, D.O. Ohlen, Jesslyn F. Brown
Seasonal vegetation monitoring with AVHRR data for grasshopper and locust control in West Africa
No abstract available.
Authors
G. Gray Tappan, S. M. Howard, Thomas Loveland, Dean J. Tyler, D. G. Moore
Pilot project for seasonal vegetation monitoring in support of grasshopper and locust control in West Africa
No abstract available.
Authors
G. Gray Tappan, Thomas Loveland, Donald G. Orr, D. G. Moore, S. M. Howard, Dean J. Tyler
A guide for the use of digital elevation model data for making soil surveys
The intent of this publication is twofold: (1) to serve as a user guide for soil scientists and others interested in learning about the value and use of digital elevation model (DEM) data in making soil surveys and (2) to provide documentation of the Soil Landscape Analysis Project (SLAP). This publication provides a step-by-step guide on how digital slope-class maps are adjusted to topographic ma
Authors
A. A. Klingebiel, Emil H. Horvath, William U. Reybold, D. G. Moore, E. A. Fosnight, Thomas R. Loveland