Estimating the agricultural farm soil moisture using spectral indices of Landsat 8, and Sentinel-1, and artificial neural networks

N Ghasemloo, AA Matkan, A Alimohammadi… - … of Geovisualization and …, 2022 - Springer
Abstract Knowledge of soil moisture at various stages of agricultural production plays a
fundamental role in better managing water resources. Satellite data provide useful …

A convolutional neural network algorithm for soil moisture prediction from Sentinel-1 SAR images

EH Hegazi, L Yang, J Huang - Remote Sensing, 2021 - mdpi.com
Achieving the rational, optimal, and sustainable use of resources (water and soil) is vital to
drink and feed 9.725 billion by 2050. Agriculture is the first source of food production, the …

Soil moisture estimation using triangular method at higher resolution from MODIS products

KS Rawat, VK Sehgal, SK Singh, SS Ray - … Chemistry of the Earth, Parts A …, 2022 - Elsevier
Soil moisture plays a vital role in high agriculture yield and many satellite products are
available to study their potentiality in soil moisture estimation. Hence, we considered a …

Sentinel-1 Response to Canopy Moisture in Mediterranean Forests before and after Fire Events

F Pirotti, O Adedipe, B Leblon - Remote Sensing, 2023 - mdpi.com
This study investigates the sensibility of Sentinel-1 C-band backscatter to the moisture
content of tree canopies over an area of about 500 km2 in north-western Portugal, with …

[HTML][HTML] An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine

F Imtiaz, AA Farooque, GS Randhawa, X Wang… - Agricultural Water …, 2024 - Elsevier
Soil moisture estimation is critical for environmental and agricultural sustainability, with its
spatial and temporal variation playing a key role in drought monitoring and understanding …

[PDF][PDF] Cellular automata and markov chain based urban growth prediction

S Jadawala, SH Shukla, PS Tiwari - International Journal of …, 2021 - dergipark.org.tr
Remote sensing and Geographic Information System (GIS); plays a vital role for studying
LandUse Land Cover (LULC) and identifying the main factors for useful outcomes …

Analysis of Optimum Growth Stages for Winter Crop Separability using Multi-Temporal NDVI Profiles in Vijapur Taluka, Gujarat State

J Panchal, SH Shukla, M Kalubarme - International Journal of …, 2021 - dergipark.org.tr
The multi-date Remote sensing satellite data has shown its great potential in agricultural
applications. The crop monitoring throughout its growing season requires up-to-date and …

Urban Heat Island Mapping Based on a Local Climate Zone Classification: a Case Study in Strasbourg City, France

N Philipps, T Landes, P Kastendeuch… - … of Environment and …, 2022 - dergipark.org.tr
The Urban Heat Island (UHI) effect is characterised by higher temperatures in cities than in
rural surroundings. This phenomenon leads to increased health risks in urban dwellers …

[HTML][HTML] Field Scale Soil Moisture Estimation with Ground Penetrating Radar and Sentinel 1 Data

R Atun, Ö Gürsoy, S Koşaroğlu - Sustainability, 2024 - mdpi.com
This study examines the combined use of ground penetrating radar (GPR) and Sentinel-1
synthetic aperture radar (SAR) data for estimating soil moisture in a 25-decare field in Sivas …

Retrieving Surface and Rootzone Soil Moisture Using Microwave Remote Sensing

SK Thaggahalli Nagaraju, AA Pathak - Journal of the Indian Society of …, 2024 - Springer
Soil moisture is one of the least monitored of all the hydrologic variables. It is greatly
influenced by unpredictable and intermittent precipitation, varying evapotranspiration rates …