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Skole, David L.

Publications and source records attributed to Skole, David L..

Human Dimensions of Deforestation and Regrowth in the Brazilian Amazon: Integrating Data from Satellites, Demographic Censuses, and Field Surveys

This report summarizes research activities and products from a collaborative project on the "Human Dimensions of Deforestation and Regrowth in the Brazilian Amazon," awarded to Charles H. Wood (PI; Department of Sociology, University of Texas at Austin, now in the Center for Latin American Studies, University of Florida), Steven E. Sanderson (Co-PI; Department of Political Science, University of Florida, now Dean of Emory College, Emory University) and David L. Skole (Co-PI; Institute for Earth, Oceans and Space, University of New Hampshire, now in the Department of Geography and Basic Science Remote Sensing Initiative, Michigan State University).

Wood, Charles H.↗

Deforestation and Secondary Growth in Rondonia, Brazil from SIR-C SAR and Landsat.SPOT data

Covers problems with existing data collected with high-resolution optical sensors. They say active microwave sensors could complement other sensors in getting through things like cloud cover. They analyzed SIR-C data in combination with Landsat TM data, a 9-year time series of SPOT XS data, and a preliminary field survey. They report findings and draw conclusions, including that SARs operating at long radar wavelengths, with both like and cross-polarizations, are needed for tropical deforestation studies.

high-resolution optical sensors SIR-C SAR SPOT↗

Data and information system requirements for Global Change Research

Efforts to develop local information systems for supporting interdisciplinary Global Change Research are described. A prototype system, the Interdisciplinary Science Data and Information System (IDS-DIS), designed to interface the larger archives centers of EOS-DIS is presented. Particular attention is given to a data query information management system (IMS), which has been used to tabulate information of Landsat data worldwide. The use of these data in a modeling analysis of deforestation and carbon dioxide emissions is demonstrated. The development of distributed local information systems is considered to be complementary to the development of central data archives. Global Change Research under the EOS program is likely to result in proliferation of data centers. It is concluded that a distributed system is a feasible and natural way to manage data and information for global change research.

Skole, David L.↗