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Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework

The Science of the total environment, 2021-11, Vol.793, p.148466-148466, Article 148466

2021

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The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1613

2020

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Downscaling wind speed based on coupled environmental factors and machine learning

International journal of climatology, 2023-08, Vol.43 (10), p.4733-4755

2023

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Synthesis of global actual evapotranspiration from 1982 to 2019

Earth system science data, 2021-02, Vol.13 (2), p.447-480

2021

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Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (18), p.2987

2020

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Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (8), p.1830

2022

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Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China

Remote sensing (Basel, Switzerland), 2021-03, Vol.13 (6), p.1076

2021

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Benchmarking multimodel terrestrial water storage seasonal cycle against Gravity Recovery and Climate Experiment (GRACE) observations over major global river basins

Hydrology and earth system sciences, 2024-04, Vol.28 (7), p.1725-1750

2024

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The Use of Machine Learning and Satellite Imagery to Detect Roman Fortified Sites: The Case Study of Blad Talh (Tunisia Section)

Applied sciences, 2023-02, Vol.13 (4), p.2613

2023

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GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery

Earth system science data, 2021-10, Vol.13 (10), p.4799-4817

2021

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An integrated modeling approach for estimating monthly global rainfall erosivity

Scientific reports, 2024-04, Vol.14 (1), p.8167-8167, Article 8167

2024

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Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3860

2020

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Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3650

2020

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Crop Water Requirements and Suitability Assessment in Arid Environments: A New Approach

Agronomy (Basel), 2021-01, Vol.11 (2), p.260

2021

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An improved deep learning procedure for statistical downscaling of climate data

Heliyon, 2023-07, Vol.9 (7), p.e18200-e18200, Article e18200

2023

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Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets

Big earth data, 2022-01, Vol.6 (1), p.54-76

2022

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Incorporation of Net Radiation Model Considering Complex Terrain in Evapotranspiration Determination with Sentinel-2 Data

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (5), p.1191

2022

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The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting

Journal of hydrology. Regional studies, 2023-06, Vol.47, p.101372, Article 101372

2023

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Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset

Environmental Research Communications, 2024-04, Vol.6 (4), p.41005

2024

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Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.61

2021

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Assessment of environmentally sensitive areas to desertification in the Blue Nile Basin driven by the MEDALUS-GEE framework

The Science of the total environment, 2022-04, Vol.815, p.152925-152925, Article 152925

2022

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Quantifying global agricultural water appropriation with data derived from earth observations

Journal of cleaner production, 2022-07, Vol.358, p.131891, Article 131891

2022

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A framework for separating natural and anthropogenic contributions to evapotranspiration of human-managed land covers in watersheds based on machine learning

The Science of the total environment, 2022-06, Vol.823, p.153726-153726, Article 153726

2022

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A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication

Remote sensing of environment, 2020-12, Vol.251 (C), p.112095, Article 112095

2020

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Integrating APSIM model with machine learning to predict wheat yield spatial distribution

Agronomy journal, 2023-11, Vol.115 (6), p.3188-3196

2023

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Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework

The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China

Downscaling wind speed based on coupled environmental factors and machine learning

Synthesis of global actual evapotranspiration from 1982 to 2019

Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST)

Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia

Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China

Benchmarking multimodel terrestrial water storage seasonal cycle against Gravity Recovery and Climate Experiment (GRACE) observations over major global river basins

The Use of Machine Learning and Satellite Imagery to Detect Roman Fortified Sites: The Case Study of Blad Talh (Tunisia Section)

GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery

An integrated modeling approach for estimating monthly global rainfall erosivity

Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing

Spatio-Temporal Assessment of Global Precipitation Products over the Largest Agriculture Region in Pakistan

Crop Water Requirements and Suitability Assessment in Arid Environments: A New Approach

An improved deep learning procedure for statistical downscaling of climate data

Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets

Incorporation of Net Radiation Model Considering Complex Terrain in Evapotranspiration Determination with Sentinel-2 Data

The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting

Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset

Erratum: Mumtaz, F., et al. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). Remote Sens. 2020, 12, 2987

Assessment of environmentally sensitive areas to desertification in the Blue Nile Basin driven by the MEDALUS-GEE framework

Quantifying global agricultural water appropriation with data derived from earth observations

A framework for separating natural and anthropogenic contributions to evapotranspiration of human-managed land covers in watersheds based on machine learning

A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication

Integrating APSIM model with machine learning to predict wheat yield spatial distribution

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