[PDF][PDF] Advances in radar remote sensing of agricultural crops: a review

T Sivasankar, D Kumar, HS Srivastava… - Int. J. Adv. Sci. Eng. Inf …, 2018 - core.ac.uk
There are enormous advantages of a review article in the field of emerging technology like
radar remote sensing applications in agriculture. This paper aims to report select recent …

Modeling forest above-ground biomass using freely available satellite and multisource datasets

A Hojo, R Avtar, T Nakaji, T Tadono, K Takagi - Ecological Informatics, 2023 - Elsevier
Achieving the 2° C global warming target will require all stakeholders, from local to global, to
accelerate carbon reduction plans. To properly estimate carbon amounts sequestered and …

Synergistic use of radar and optical satellite data for improved monsoon cropland mapping in India

A Qadir, P Mondal - Remote Sensing, 2020 - mdpi.com
Monsoon crops play a critical role in Indian agriculture, hence, monitoring these crops is vital
for supporting economic growth and food security for the country. However, monitoring these …

[HTML][HTML] Gaussian process regression-based forest above ground biomass retrieval from simulated l-band nisar data

SS Ghosh, U Khati, S Kumar, A Bhattacharya… - International Journal of …, 2023 - Elsevier
Accurate mapping of forest above ground biomass (AGB) is essential for understanding
changes in the rate of ecosystem processes such as biomass productivity, litter productivity …

Relating ALOS-2 PALSAR-2 parameters to biomass and structure of temperate broadleaf hyrcanian forests

P Golshani, Y Maghsoudi, H Sohrabi - Journal of the Indian Society of …, 2019 - Springer
Abstract Evaluation of forest biomass is required for sustainable forest management,
efficiency valuation and exploring variations in carbon resources. In this research, we …

Above ground biomass mapping of tropical forest of Tripura using EOS-04 and ALOS-2 PALSAR-2 SAR data

D Bhavsar, AK Das, K Chakraborty, C Patnaik… - Journal of the Indian …, 2024 - Springer
Abstract Above Ground Biomass (AGB) is a vital factor in the forest ecosystem, closely linked
to the carbon cycle and global climate change. Synthetic Aperture Radar (SAR) remote …

Identification of seasonal snow phase changes from C-band SAR time series with dynamic thresholds

G Beltramone, AC Frery, CH Rotela… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In cryospheric studies, the most critical variable is estimating the beginning and evolution of
the seasonal snow accumulation and its melting process. We propose and evaluate a new …

Addressing critical influences on L-band radar backscatter for improved estimates of basal area and change

ML Williams, AL Mitchell, AK Milne, T Danaher… - Remote Sensing of …, 2022 - Elsevier
L-band synthetic aperture radar (SAR) backscatter intensity is sensitive to land cover and
can be used to estimate vegetation measures such as basal area (BA) and biomass …

Estimation of Forest Growing Stock Volume with Synthetic Aperture Radar: A Comparison of Model-Fitting Methods.

M Santoro, O Cartus, O Antropov… - Remote …, 2024 - search.ebscohost.com
Satellite-based estimation of forest variables including forest biomass relies on model-based
approaches since forest biomass cannot be directly measured from space. Such models …

[PDF][PDF] The potential of multi-frequency multipolarized ALOS-2/PALSAR-2 and Sentinel-1 SAR data for aboveground forest biomass estimation

T Sivasankar, JM Lone, KK Sarma, A Qadir… - Int. J. Eng …, 2018 - researchgate.net
A reliable assessment of above ground forest biomass spatial distribution is needed for
various applications ranging from carbon and bioenergy policies to sustainable forest …