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Modeling forest aboveground carbon density in the Brazilian Amazon with integration of MODIS and Airborne LiDAR data. Authorship: JIANG, X.; LI, G.; LU, D.; MORAN, E.; BATISTELLA, M. Abstract: Timely updates of carbon stock distribution are needed to better understand the impacts of deforestation and degradation on forest carbon stock dynamics. This research aimed to explore an ap... ... Repository: BDPA Publication year: 2020
Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data. Authorship: ZHU, C.; LU, D.; VICTORIA, D. de C.; DUTRA, L. V. Mapping cropland distribution over large areas has attracted great attention in recent years, however, traditional pixel-based classification approaches produce high uncertainty in cropland area stati... ... Repository: BDPA Publication year: 2016
The roles of textural images in improving land-cover classification in the Brazilian Amazon. Authorship: LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. Texture has long been recognized as valuable in improving land-cover classification, but how data from different sensors with varying spatial resolutions affect the selection of textural images is poo... ... Repository: BDPA Publication year: 2014
Land use/cover classification in the Brazilian Amazon using satellite images. Authorship: LU, D.; BATISTELLA, M.; LI, G.; MORAN, E.; HETRICK, S.; FREITAS, C. DA C.; SANT'ANNA, S. J. Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical... ... Repository: BDPA Publication year: 2012
Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates. Authorship: LU, D.; CHEN, Q.; WANG, G.; MORAN, E.; BATISTELLA, M.; ZHANG, M.; LAURIN, G. V.; SAAH, D. Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations. On the other hand, for... ... Repository: BDPA Publication year: 2012
A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. Authorship: LI, G.; LU, D.; DUTRA, L.; BATISTELLA, M. This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band (Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for land-cover classification in a t... ... Repository: BDPA Publication year: 2012
Mapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data: a case study in an urban-rural landscape in the Brazilian Amazon. Authorship: LU, D.; LI, G.; BATISTELLA, M.; FREITAS, C. C. This research explored the integrated use of Landsat Thematic Mapper (TM) and radar (i.e., ALOS PALSAR L-band and RADARSAT-2 C-band) data for mapping impervious surface distribution to examine the rol... ... Repository: BDPA Publication year: 2011
Fractional forest cover mapping in the Brazilian Amazon with a combination of MODIS and TM images. Authorship: LU, D.; BATISTELLA, M.; MORAN, E.; HETRICK, S.; ALVES, D.; BRONDIZIO, E. Repository: BDPA Publication year: 2011
A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon. Authorship: LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. Many data fusion methods are available, but it is poorly understood which fusion method is suitable for integrating Landsat Thematic Mapper (TM) and radar data for land cover classification. This rese... ... Repository: BDPA Publication year: 2011
Integration of landsat TM and SPOT HRG Images for vegetation change detection in the Brazilian Amazon. Authorship: LU, D.; BATISTELLA, M.; MORAN, E. Traditional change detection approaches have been proven to be difficult in detecting vegetation changes in the moist tropical regions with multitemporal images. This paper explores the integration of... ... Repository: BDPA Publication year: 2008

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