Zobrazeno 1 - 10
of 24
pro vyhledávání: '"D.K. McIver"'
Autor:
Alan H. Strahler, D. Muchoney, Crystal B. Schaaf, Annemarie Schneider, Feng Gao, D.K. McIver, Curtis E. Woodcock, Sucharita Gopal, Xiaoyang Zhang, Amanda Cooper, Alessandro Baccini, Mark A. Friedl, J.C.F. Hodges
Publikováno v:
Remote Sensing of Environment. 83:287-302
Until recently, advanced very high-resolution radiometer (AVHRR) observations were the only viable source of data for global land cover mapping. While many useful insights have been gained from analyses based on AVHRR data, the availability of modera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60658a4970d799c637283b2403e5c04f
https://doi.org/10.1016/s0034-4257(02)00078-0
https://doi.org/10.1016/s0034-4257(02)00078-0
Autor:
D.K. McIver, Mark A. Friedl
Publikováno v:
Remote Sensing of Environment. 81:253-261
Land cover and vegetation classification systems are generally designed for ecological or land use applications that are independent of remote sensing considerations. As a result, the classes of interest are often poorly separable in the feature spac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3524599ac1e31de3cf676412184d7b0a
https://doi.org/10.1016/s0034-4257(02)00003-2
https://doi.org/10.1016/s0034-4257(02)00003-2
Autor:
D.K. McIver, Mark A. Friedl
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 39:1959-1968
Conventional approaches to accuracy assessment for land cover maps produced from remote sensing use either confusion matrices or the Kappa statistic to quantify map quality. These approaches yield global or class-specific measures of map quality by c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::123538f819ee95e7e4c9ee5ab64a7e08
https://doi.org/10.1109/36.951086
https://doi.org/10.1109/36.951086
Publikováno v:
Geophysical Research Letters. 27:977-980
Land cover is a key boundary condition in weather, climate, and terrestrial biogeochemical models. Until recently, such models have used maps depicting potential vegetation, which are known to be of relatively poor quality, to parameterize land surfa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9f4957a21350c7b45c185105228bff
https://doi.org/10.1029/1999gl011010
https://doi.org/10.1029/1999gl011010
Publikováno v:
IGARSS
In recent years, machine learning and data mining methods have become increasingly common in remote sensing applications. One area in which such techniques are particularly useful is classification of remotely sensed data for land cover and vegetatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::158f411287a39c46ef88e7711a7691c5
https://doi.org/10.1109/igarss.2002.1025768
https://doi.org/10.1109/igarss.2002.1025768
Autor:
D.M. Muchoney, Mark A. Friedl, D.K. McIver, Crystal B. Schaaf, Huaying Chi, J.C.F. Hodges, Alan H. Strahler
Publikováno v:
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).
Global multitemporal composited AVHRR 1-km/sup 2/ spatial resolution data sets are being extensively used to prototype the MODIS Land Cover Classification algorithm. Results indicate that this method of prototyping prior to instrument launch is valid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc3e3c0fd5bc5f2e8d3d7ee969372158
https://doi.org/10.1109/igarss.1999.774480
https://doi.org/10.1109/igarss.1999.774480
Publikováno v:
IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482).
Identifying and anticipating the location, size and growth rate of urbanized areas is an important component to understanding, adapting to, and mitigating many aspects of global change. The main objective of this research is to improve understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65da36763fdaa5369b01abcf682eee13
https://doi.org/10.1109/dfua.2001.985750
https://doi.org/10.1109/dfua.2001.985750
Publikováno v:
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).
This paper describes research to obtain continental and global scale maps of urban land cover from remotely sensed imagery, specifically utilizing newly available one kilometer data from the MODIS sensor. Defining the extent of urban land is crucial,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2406fe930e36444d486300ef917d2e8
https://doi.org/10.1109/igarss.2001.977931
https://doi.org/10.1109/igarss.2001.977931
Autor:
M.A. Friedl, D.K. McIver
Publikováno v:
IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
This paper describes research to obtain local or pixel scale estimates of classification quality from classification of remote sensing data produced with nonparametric machine learning algorithms. The approach utilizes boosting, a method of improving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ea13e888c7691a5d3fa3f4169213dfb
https://doi.org/10.1109/igarss.2000.860337
https://doi.org/10.1109/igarss.2000.860337
Publikováno v:
Spatial Uncertainty in Ecology ISBN: 9780387988894
Remote sensing has become a widely used tool in ecology. Examples of ecological applications that use remote sensing include species conservation efforts such as GAP analysis Scott et al. 1993, land cover and land use change monitoring (Skole and Tuc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207063b47c85d4f7fb08c9e433205e7c
https://doi.org/10.1007/978-1-4613-0209-4_12
https://doi.org/10.1007/978-1-4613-0209-4_12
