TY - JOUR
T1 - Ecological research needs from multiangle remote sensing data
AU - Asner, Gregory P.
AU - Braswell, B. H.
AU - Schimel, David S.
AU - Wessman, Carol A.
N1 - Funding Information:
We thank Diane Wickland, Don Deering, Jeff Privette and attendees of the NASA Workshop on Multi-angular Remote Sensing for Environmental Applications, held at the University of Maryland, College Park in January 1997. The impetus to write this article was provided through their questions to the ecological research community. We also thank Jeff Privette for providing the BRDF principal plane figure and for his comments on the manuscript. This work was supported in part by NASA Innovative Research Grant NAGW-4689, NASA Interdisciplinary Science Grants NAGW-2662 and NAGW-2669, and the NASA Earth System Science Fellowship Program. The National Center for Atmospheric Research is sponsored by the National Science Foundation.
PY - 1998/2
Y1 - 1998/2
N2 - Remotely sensed land surface reflectance depends upon changing sun and sensor viewing geometry, and this dependence is governed by the bidirectional reflectance distribution function (BRDF). Because the reflectance distribution of vegetation is strongly anisotropic, multi-view angle (MVA) observations of terrestrial ecosystems contain additional and unique information beyond that acquired with nadir or single-angle spectral measurements alone. With the NASA EOS instruments MODIS and MISR and France's POLDER, new capabilities in MVA remote sensing will become widely available for ecological, biogeochemical, and land-surface biophysical research. However, a communication gap exists between the remote sensing and ecological communities in terms of the capabilities of the former and the needs of the latter. In this article, we present a summary of ecological research needs for remotely sensed data. Based on these needs, we present a review of some of the most promising MVA remote sensing methods for fulfilling these requirements. With this article, we hope to facilitate increased communication between the remote sensing, ecological, and biogeochemical research communities.
AB - Remotely sensed land surface reflectance depends upon changing sun and sensor viewing geometry, and this dependence is governed by the bidirectional reflectance distribution function (BRDF). Because the reflectance distribution of vegetation is strongly anisotropic, multi-view angle (MVA) observations of terrestrial ecosystems contain additional and unique information beyond that acquired with nadir or single-angle spectral measurements alone. With the NASA EOS instruments MODIS and MISR and France's POLDER, new capabilities in MVA remote sensing will become widely available for ecological, biogeochemical, and land-surface biophysical research. However, a communication gap exists between the remote sensing and ecological communities in terms of the capabilities of the former and the needs of the latter. In this article, we present a summary of ecological research needs for remotely sensed data. Based on these needs, we present a review of some of the most promising MVA remote sensing methods for fulfilling these requirements. With this article, we hope to facilitate increased communication between the remote sensing, ecological, and biogeochemical research communities.
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U2 - 10.1016/S0034-4257(97)00139-9
DO - 10.1016/S0034-4257(97)00139-9
M3 - Article
AN - SCOPUS:0031988725
SN - 0034-4257
VL - 63
SP - 155
EP - 165
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
IS - 2
ER -