Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

J Xiao, F Chevallier, C Gomez, L Guanter… - Remote sensing of …, 2019 - Elsevier
Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …

[PDF][PDF] Methods to estimate above-ground biomass and carbon stock in natural forests-a review

KT Vashum, S Jayakumar - Journal of Ecosystem & Ecography, 2012 - academia.edu
Carbon exists as carbon dioxide in the atmosphere and constitutes about 0.04% of the
atmosphere. In the recent past, it has gained a lot of attention as a greenhouse gas, as it has …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery

H Zheng, T Cheng, M Zhou, D Li, X Yao, Y Tian… - Precision …, 2019 - Springer
Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding
and crop management, and can be used for crop yield prediction. A number of vegetation …

Estimating aboveground biomass using Sentinel-2 MSI data and ensemble algorithms for grassland in the Shengjin Lake Wetland, China

C Li, L Zhou, W Xu - Remote Sensing, 2021 - mdpi.com
Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem
health and is critical for water purification, carbon cycle, and biodiversity conservation …

Mapping tree canopy cover and aboveground biomass in Sudano-Sahelian woodlands using Landsat 8 and random forest

M Karlson, M Ostwald, H Reese, J Sanou, B Tankoano… - Remote Sensing, 2015 - mdpi.com
Accurate and timely maps of tree cover attributes are important tools for environmental
research and natural resource management. We evaluate the utility of Landsat 8 for …

Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest

SM Ghosh, MD Behera - Applied Geography, 2018 - Elsevier
Forest aboveground biomass (AGB) is an important factor for tracking global carbon cycle to
tackle the impact of climate change. Among all available remote sensing data and methods …

NDVI time series for monitoring RUSLE cover management factor in a tropical watershed

VL Durigon, DF Carvalho, MAH Antunes… - … journal of remote …, 2014 - Taylor & Francis
Land cover, an important factor for monitoring changes in land use and erosion risk, has
been widely monitored and evaluated by vegetation indices. However, a study that …

Estimating biomass of winter oilseed rape using vegetation indices and texture metrics derived from UAV multispectral images

Y Liu, S Liu, J Li, X Guo, S Wang, J Lu - Computers and Electronics in …, 2019 - Elsevier
Monitoring the above ground biomass (AGB) in winter oilseed rape is important for
improving the agronomic management efficiency and predicting yield to ensure edible oil …

Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations

AG Vorster, PH Evangelista, AEL Stovall… - Carbon Balance and …, 2020 - Springer
Background Biomass maps are valuable tools for estimating forest carbon and forest
planning. Individual-tree biomass estimates made using allometric equations are the …