DocumentCode
1382382
Title
The Global Rain Forest Mapping Project JERS-1 radar mosaic of tropical Africa: development and product characterization aspects
Author
De Grandi, Gianfranco ; Mayaux, Philippe ; Rauste, Yrjo ; Rosenqvist, Ake ; Simard, Marc ; Saatchi, Sasan S.
Author_Institution
Joint Res. Centre, Eur. Commission, Ispra, Italy
Volume
38
Issue
5
fYear
2000
fDate
9/1/2000 12:00:00 AM
Firstpage
2218
Lastpage
2233
Abstract
The Global Rain Forest Mapping Project (GRFM) is an international collaborative effort initiated and managed by the National Space Development Agency of Japan (NASDA). The main goal of the project is to produce a high resolution wall-to-wall map of the entire tropical rain forest domain in four continents using the L-band SAR onboard the JERS-1 spacecraft. The processing phase, which entails the generation of wide area radar mosaics from the raw SAR data, was split according to the geographic area. In this paper, the focus is on the part related to Africa. The GRFM project´s goal calls for the coverage of a continental scale area of several million km2 using a sensor with the resolution of tens of meters. In the case of the African continent, this entails the assemblage of some 3900 high resolution SAR scenes into a bitemporal mosaic at 100 m pixel spacing and with known geometric accuracy. While this fact opens up an entire new perspective for vegetation mapping in the tropics, it presents a number of technical challenge. The authors report on the solutions adopted in the GRFM Africa mosaic development and discuss some quantitative and qualitative aspects related to the characterization and validation of the GRFM products. In particular, the mosaic geolocation and its validation are discussed in detail. Indeed, the internal geometric consistency (subpixel accuracy in the coregistration of the two dates), and the absolute geolocation (residual mean squared error of 240 m with respect to ground control points) are key features of the GRFM Africa mosaic
Keywords
forestry; geophysical techniques; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; Global Rain Forest Mapping Project; JERS-1; L-band; NASDA; SAR; UHF; forestry; geolocation; geophysical measurement technique; image registration; location; product characterization; radar mosaic; radar remote sensing; spaceborne radar; tropical Africa; tropics; vegetation mapping; Africa; Assembly; Continents; International collaboration; L-band; Layout; Project management; Rain; Space vehicles; Synthetic aperture radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.868880
Filename
868880
Link To Document