Biophysical Characterization and Monitoring Large‐Scale Water and Vegetation Anomalies by Remote Sensing in the Agricultural Growing Areas of the Brazilian Semi‐Arid Region

2021 ◽  
pp. 94-109
Author(s):  
Antônio Heriberto de Castro Teixeira ◽  
Janice Freitas Leivas ◽  
Edson Patto Pacheco ◽  
Edlene Aparecida Monteiro Garçon ◽  
Celina Maki Takemura
Keyword(s):  
Remote Sensing ◽  
Arid Region ◽  
Large Scale ◽  
Biophysical Characterization ◽  
Semi Arid Region ◽  
Semi Arid

Remote Sensing of Soil Organic Carbon in Semi-Arid Region of Iran

2010 ◽  
Vol 24 (4) ◽  
pp. 271-281 ◽  
Author(s):  
Moslem Ladoni ◽  
Seyed Kazem Alavipanah ◽  
Hosein Ali Bahrami ◽  
Ali Akbar Noroozi
Keyword(s):  
Remote Sensing ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Use of remote sensing to identify areas at risk of degradation in the semi-arid region

2018 ◽  
Vol 49 (3) ◽  
Author(s):  
Deodato do Nascimento Aquino ◽  
Odílio Coimbra da Rocha Neto ◽  
Maurício Alves Moreira ◽  
Adunias dos Santos Teixeira ◽  
Eunice Maia de Andrade
Keyword(s):  
Remote Sensing ◽  
At Risk ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid

Support Irrigation Water Management of Cereals Using Optical Remote Sensing and Modeling in a Semi-Arid Region

2019 ◽  
pp. 124-145 ◽  
Author(s):  
Tarik Benabdelouahab ◽  
Hayat Lionboui ◽  
Rachid Hadria ◽  
Riad Balaghi ◽  
Abdelghani Boudhar ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Near Infrared ◽  
Irrigated Agriculture ◽  
Optical Remote Sensing ◽  
Crop Modeling ◽  
Management Tools ◽  
Irrigated Perimeter ◽  
Semi Arid Region ◽  
Semi Arid

Irrigated agriculture is an important strategic sector for Morocco, contributing to food security and employment. Nowadays, irrigation scheme managers shall ensure that water is optimally used. The main objective was to support the irrigation monitoring and management of wheat in the irrigated perimeter using optical remote sensing and crop modeling. The potential of spectral indices derived from SPOT-5 images was explored for quantifying and mapping surface water content changes at large scale. Indices were computed using the reflectance in red, near infrared, and shortwave infrared bands. A field crop model (AquaCrop) was adjusted and tested to simulate the grain yield and the temporal evolution of soil moisture status. This research aimed at providing a scientific and technical approach to assist policymakers and stakeholders to improve monitoring irrigation and mitigating wheat water stress at field and irrigation perimeter levels in semi-arid areas. The approach could lead to operational management tools for an efficient irrigation at field and regional levels.

Assessment of the geometry and volumes of small surface water reservoirs by remote sensing in a semi-arid region with high reservoir density

2019 ◽  
Vol 64 (1) ◽  
pp. 66-79 ◽  
Author(s):  
Bruno Pereira ◽  
Pedro Medeiros ◽  
Till Francke ◽  
Geraldo Ramalho ◽  
Saskia Foerster ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Arid Region ◽  
Water Reservoirs ◽  
Small Surface ◽  
Semi Arid Region ◽  
Semi Arid

Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region

2019 ◽  
Vol 231 ◽  
pp. 111226 ◽  
Author(s):  
Ehsan Jalilvand ◽  
Masoud Tajrishy ◽  
Sedigheh Alsadat Ghazi Zadeh Hashemi ◽  
Luca Brocca
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Irrigation Water ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Remote Sensing Based Analysis of Recent Variations in Water Resources and Vegetation of a Semi-Arid Region

Water ◽  
2015 ◽  
Vol 7 (11) ◽  
pp. 6039-6055 ◽  
Author(s):  
Shaowei Ning ◽  
Hiroshi Ishidaira ◽  
Parmeshwar Udmale ◽  
Yutaka Ichikawa
Keyword(s):  
Remote Sensing ◽  
Water Resources ◽  
Arid Region ◽  
Semi Arid Region ◽  
Semi Arid
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