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Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4605

2021

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High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.900

2020

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Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3867

2022

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A Structural Equation Modeling Approach to Disentangling Regional-Scale Landscape Dynamics in Ghana

Frontiers in environmental science, 2022-01, Vol.9

2022

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Evaluating Uncertainties in an SM-Based Inversion Algorithm for Irrigation Estimation in a Subtropical Humid Climate

Water (Basel), 2024-09, Vol.16 (17), p.2445

2024

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A Comparison of Passive Microwave Emission Models for Estimating Brightness Temperature at L- and P-Bands Under Bare and Vegetated Soil Conditions

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.2570-2585

2024

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Estimation of energy and moisture fluxes for dynamic vegetation using coupled SVAT and crop-growth models

Water resources research, 2008-07, Vol.44 (7), p.W07415-n/a

2008

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PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Environmental modelling & software : with environment data news, 2022-05, Vol.151, p.105362, Article 105362

2022

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Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model

Water resources research, 2023-05, Vol.59 (5), p.n/a

2023

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Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan

Environmental science and pollution research international, 2018-10, Vol.25 (28), p.28413-28430

2018

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Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset

Remote sensing of environment, 2021-11, Vol.265, p.112623, Article 112623

2021

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Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment

Environmental science and pollution research international, 2019-01, Vol.26 (2), p.1227-1237

2019

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Soil moisture profile estimation under bare and vegetated soils using combined L-band and P-band radiometer observations: An incoherent modeling approach

Remote sensing of environment, 2024-06, Vol.307, p.114148, Article 114148

2024

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Dominant backscattering mechanisms at L-band during dynamic soil moisture conditions for sandy soils

Remote sensing of environment, 2016-06, Vol.178, p.104-112

2016

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Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

Journal of the Indian Society of Remote Sensing, 2018-10, Vol.46 (10), p.1701-1711

2018

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Using phenology-based enhanced vegetation index and machine learning for soybean yield estimation in Paraná State, Brazil

Journal of applied remote sensing, 2018-06, Vol.12 (2), p.1

2018

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Understanding Heat Transfer in the Shallow Subsurface Using Temperature Observations

Vadose zone journal, 2010-11, Vol.9 (4), p.1034-1045

2010

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SMAP Soil Moisture Product Validity in Heterogeneous Irrigated Regions

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4719-4722

2020

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Monitoring Vegetation Conditions Over Agricultural Regions Using Active Observations

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4351-4354

2020

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Comparison of SMAP Retrieval Soil Moisture Level 2 Product with in Situ Measurements Over Corn Fields in Central Mexico

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4727-4730

2020

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Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.5250-5253

2020

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Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4526-4529

2020

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Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation

High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data

Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model

A Structural Equation Modeling Approach to Disentangling Regional-Scale Landscape Dynamics in Ghana

Evaluating Uncertainties in an SM-Based Inversion Algorithm for Irrigation Estimation in a Subtropical Humid Climate

A Comparison of Passive Microwave Emission Models for Estimating Brightness Temperature at L- and P-Bands Under Bare and Vegetated Soil Conditions

Estimation of energy and moisture fluxes for dynamic vegetation using coupled SVAT and crop-growth models

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model

Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan

Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset

Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment

Soil moisture profile estimation under bare and vegetated soils using combined L-band and P-band radiometer observations: An incoherent modeling approach

Dominant backscattering mechanisms at L-band during dynamic soil moisture conditions for sandy soils

Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

Using phenology-based enhanced vegetation index and machine learning for soybean yield estimation in Paraná State, Brazil

Understanding Heat Transfer in the Shallow Subsurface Using Temperature Observations

SMAP Soil Moisture Product Validity in Heterogeneous Irrigated Regions

Monitoring Vegetation Conditions Over Agricultural Regions Using Active Observations

Comparison of SMAP Retrieval Soil Moisture Level 2 Product with in Situ Measurements Over Corn Fields in Central Mexico

Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region

Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets

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