Results 131 to 140 of about 946 (177)

IB-AGC: Annual 25 km global live biomass carbon product from SMOS L-band passive microwave vegetation optical depth. [PDF]

Sci Data
Li X, Ciais P, Frappart F, Scipal K, Fan L, Yang H, Albergel C, Liu X, Liu Y, Wang M, Wang H, Xing Z, De Truchis A, Wigneron JP.   +13 more
europepmc   +1 more source

FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection. [PDF]

Sensors (Basel)
Zhang X, Zhao H, Zhang W, Cao S, Sun H, Zhang B.   +5 more
europepmc   +1 more source

Global critical soil moisture thresholds of plant water stress. [PDF]

Nat Commun
Fu Z, Ciais P, Wigneron JP, Gentine P, Feldman AF, Makowski D, Viovy N, Kemanian AR, Goll DS, Stoy PC, Prentice IC, Yakir D, Liu L, Ma H, Li X, Huang Y, Yu K, Zhu P, Li X, Zhu Z, Lian J, Smith WK.   +21 more
europepmc   +1 more source

A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways. [PDF]

Plants (Basel)
Li Y, Zeleke K, Wang B, Liu DL.
europepmc   +1 more source

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The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission

IEEE Transactions on Geoscience and Remote Sensing, 2014
NASA's Soil Moisture Active Passive (SMAP) mission will carry the first combined spaceborne L-band radiometer and Synthetic Aperture Radar (SAR) system with the objective of mapping near-surface soil moisture and freeze/thaw state globally every 2-3 days.
Dongryeol Ryu, Thomas Jackson, Mihai A Tănase   +2 more
exaly   +3 more sources

Passive/active microwave soil moisture disaggregation using SMAP data

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Soil moisture at high spatial resolution is required for various land processes related studies. However, currently the resolution of passive microwave retrieved soil moisture is low. To solve this problem, a soil moisture disaggregation algorithm based on thermal inertia relationship between daily temperature change and average soil moisture modulated
Venkataraman Lakshmi, Bin Fang, Rajat Bindlish   +2 more
exaly   +2 more sources

Active–Passive Soil Moisture Retrievals During the SMAP Validation Experiment 2012

IEEE Geoscience and Remote Sensing Letters, 2016
The goal of this study is to assess the performance of the active–passive algorithm for the NASA Soil Moisture Active Passive mission (SMAP) using airborne and ground observations from a field campaign. The SMAP active–passive algorithm disaggregates the coarse-resolution radiometer brightness temperature ( $TB$ ) using high-resolution radar ...
Thomas Jackson, Simon Yueh, Dara Entekhabi   +2 more
exaly   +2 more sources

Drought monitoring with soil moisture active passive (SMAP) measurements

Journal of Hydrology, 2017
Abstract Recent launch of space-borne systems to estimate surface soil moisture may expand the capability to map soil moisture deficit and drought with global coverage. In this study, we use Soil Moisture Active Passive (SMAP) soil moisture geophysical retrieval products from passive L-band radiometer to evaluate its applicability to forming ...
Dara Entekhabi, Ashok Mishra, Anoop Valiya Veettil   +2 more
exaly   +2 more sources

The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms

IEEE Transactions on Geoscience and Remote Sensing, 2015
The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite is scheduled for launch in January 2015. In order to develop robust soil moisture retrieval algorithms that fully exploit the unique capabilities of SMAP, algorithm developers had identified a need for long-duration combined active and passive L-band ...
Mahta Moghaddam, Thomas Jackson, Kalifa Goïta   +2 more
exaly   +2 more sources

A Combined Active–Passive Soil Moisture Estimation Algorithm With Adaptive Regularization in Support of SMAP

IEEE Transactions on Geoscience and Remote Sensing, 2015
We present a method to combine same-resolution measurements of active radar and passive radiometer microwave remote sensing to build a framework for soil moisture estimation in support of the Soil Moisture Active and Passive (SMAP) mission. A unified active–passive soil moisture estimation algorithm is developed within a global optimization scheme ...
Mahta Moghaddam, Ruzbeh Akbar
exaly   +2 more sources