The potential and challenge of remote sensing‐based biomass estimation
D Lu - International journal of remote sensing, 2006 - Taylor & Francis
Remotely sensed data have become the primary source for biomass estimation. A summary
of previous research on remote sensing‐based biomass estimation approaches and a …
of previous research on remote sensing‐based biomass estimation approaches and a …
Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
Reconstructing three decades of land use and land cover changes in brazilian biomes with landsat archive and earth engine
Brazil has a monitoring system to track annual forest conversion in the Amazon and most
recently to monitor the Cerrado biome. However, there is still a gap of annual land use and …
recently to monitor the Cerrado biome. However, there is still a gap of annual land use and …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
[图书][B] Sensoriamento remoto da vegetação
Começando nos anos 1980 com mapeamento da cobertura vegetal brasileira: agrícola,
florestal e monitorando o desflorestamento na Amazônia e remanescentes da Mata …
florestal e monitorando o desflorestamento na Amazônia e remanescentes da Mata …
Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
We investigated the utility of high spectral and spatial resolution imagery for the automated
species-level classification of individual tree crowns (ITCs) in a tropical rain forest (TRF) …
species-level classification of individual tree crowns (ITCs) in a tropical rain forest (TRF) …
Ten-year Landsat classification of deforestation and forest degradation in the Brazilian Amazon
CM Souza Jr, JV Siqueira, MH Sales, AV Fonseca… - Remote Sensing, 2013 - mdpi.com
Forest degradation in the Brazilian Amazon due to selective logging and forest fires may
greatly increase the human footprint beyond outright deforestation. We demonstrate a …
greatly increase the human footprint beyond outright deforestation. We demonstrate a …
Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon
D Lu - International journal of remote sensing, 2005 - Taylor & Francis
The complicated forest stand structure and associated abundant tree species in the Amazon
often induce difficulty in estimating aboveground biomass (AGB) using remotely sensed …
often induce difficulty in estimating aboveground biomass (AGB) using remotely sensed …
Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates
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 …
recently LiDAR has offered an important new structural data stream for forest biomass …
Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE
PE Dennison, DA Roberts - Remote sensing of environment, 2003 - Elsevier
Multiple endmember spectral mixture analysis (MESMA) models mixed spectra as a linear
combination of endmembers that are allowed to vary in number and type on a per pixel …
combination of endmembers that are allowed to vary in number and type on a per pixel …