Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review

M Fernández-Urrutia, M Arbelo, A Gil - Sensors, 2023 - mdpi.com
Rice is a staple food that feeds nearly half of the world's population. With the population of
our planet expected to keep growing, it is crucial to carry out accurate mapping, monitoring …

Paddy rice methane emissions across Monsoon Asia

Z Ouyang, RB Jackson, G McNicol… - Remote Sensing of …, 2023 - Elsevier
Although rice cultivation is one of the most important agricultural sources of methane (CH 4)
and contributes∼ 8% of total global anthropogenic emissions, large discrepancies remain …

Identification of saline landscapes from an integrated SVM approach from a novel 3-D classification schema using Sentinel-1 dual-polarized SAR data

S Periasamy, KP Ravi, K Tansey - Remote Sensing of Environment, 2022 - Elsevier
This study presented an integrated SVM classification method that investigated the
relationship between intrinsic scattering attributes of the surface features and the …

Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta

C Wang, TM Pavelsky, ED Kyzivat… - Remote Sensing of …, 2023 - Elsevier
Arctic-boreal wetlands, important ecosystems for biodiversity and ecological services, are
experiencing hydrological changes including permafrost thaw, earlier snowmelt, and …

[HTML][HTML] Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation

Y Wang, F Tao, Y Chen, L Yin - Agricultural Water Management, 2024 - Elsevier
Water-saving irrigation (WI) is a crucial agricultural management with the benefits to save
irrigation water, reduce energy consumption, and suppress methane emissions from paddy …

Flood depth estimation during Hurricane Harvey using Sentinel-1 and UAVSAR data

S Kundu, V Lakshmi, R Torres - Remote Sensing, 2022 - mdpi.com
In August 2017, Hurricane Harvey was one of the most destructive storms to make landfall in
the Houston area, causing loss of life and property. Temporal and spatial changes in the …

Random forest classification of inundation following hurricane florence (2018) via L-band synthetic aperture radar and ancillary datasets

AM Melancon, AL Molthan, RE Griffin, JR Mecikalski… - Remote Sensing, 2021 - mdpi.com
In response to Hurricane Florence of 2018, NASA JPL collected quad-pol L-band SAR data
with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument …

Assessing the methane mitigation potential of innovative management in US rice production

CW Reavis, ML Reba, DD Shults… - Environmental …, 2023 - iopscience.iop.org
Rice is an important global crop while also contributing significant anthropogenic methane
(CH 4) emissions. To support the future of rice production, more information is needed on …

Single collect flood mapping from vhr x-band data supervised solely by ancillary data

S De, K Jensen, L Hughes, D Ruiz… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
The rapid delineation of water extent in a flood-type event can be very beneficial to disaster
relief efforts, and Synthetic Aperture Radar (SAR) is a modality ideally suited for such …

Capella Space X-Band Synthetic Aperture Radar (Sar) Data Applied to Environmental and Humanitarian Use Cases in Earth Observation with A Focus on Urban …

K Mattingly, S De - IGARSS 2022-2022 IEEE International …, 2022 - ieeexplore.ieee.org
Small-sat systems are providing unprecedented access to remote sensing data and at a cost
far lower than traditional spacecraft. This makes them appealing for a range of …