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 …

Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art

PC Pandey, N Koutsias, GP Petropoulos… - Geocarto …, 2021 - Taylor & Francis
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) …

Reconstructing three decades of land use and land cover changes in brazilian biomes with landsat archive and earth engine

CM Souza Jr, J Z. Shimbo, MR Rosa, LL Parente… - Remote Sensing, 2020 - mdpi.com
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 …

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 …

[图书][B] Sensoriamento remoto da vegetação

FJ Ponzoni, YE Shimabukuro, TM Kuplich - 2015 - books.google.com
Começando nos anos 1980 com mapeamento da cobertura vegetal brasileira: agrícola,
florestal e monitorando o desflorestamento na Amazônia e remanescentes da Mata …

Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales

ML Clark, DA Roberts, DB Clark - Remote sensing of environment, 2005 - Elsevier
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) …

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 …

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 …

Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates

D Lu, Q Chen, G Wang, E Moran… - … Journal of Forestry …, 2012 - Wiley Online Library
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 …

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 …