PRECISION AGRICULTURE USING ADVANCED REMOTE SENSING TECHNIQUES IN ARID LANDS
MOHAMED MORTADA RAGAB EL SHARKAWY;
Abstract
One of the most important tools for precision agriculture is remote
sensing data and GIS advanced techniques. The main objectives of the
current study are to establish a management zones based on various soil
and nutrient maps linked to crop productivity. Monitoring plant water
consumption and nutrient availability help for increasing the efficient use
of water and other inputs. Two sites were selected in El-Salhiya and East
of Beni-Suef to represent two regions and different management practices
in irrigated desert lands. Soil samples were collected from both study
areas. The collected soil samples were analyzed and nutrient availability
were measured. Data obtained were used to identify different soil
management zones. In order to evaluate the role of remote sensing data,
Landsat satellite data (2014-2016) were selected and processed. The
advanced resolution merge techniques were used to enhance the spatial
resolution from 30 meters in Landsat sensors to 5 meters of Rapideye data
which specially designed for precision agriculture service. In this study,
image fusion using Principal Component Spectral Sharpening (PCSS)
method was applied to integrate NDVI and plant water consumption
calculated from Landsat satellite data. Moreover, four hyperspectral
vegetation indices were calculated from satellite data.
sensing data and GIS advanced techniques. The main objectives of the
current study are to establish a management zones based on various soil
and nutrient maps linked to crop productivity. Monitoring plant water
consumption and nutrient availability help for increasing the efficient use
of water and other inputs. Two sites were selected in El-Salhiya and East
of Beni-Suef to represent two regions and different management practices
in irrigated desert lands. Soil samples were collected from both study
areas. The collected soil samples were analyzed and nutrient availability
were measured. Data obtained were used to identify different soil
management zones. In order to evaluate the role of remote sensing data,
Landsat satellite data (2014-2016) were selected and processed. The
advanced resolution merge techniques were used to enhance the spatial
resolution from 30 meters in Landsat sensors to 5 meters of Rapideye data
which specially designed for precision agriculture service. In this study,
image fusion using Principal Component Spectral Sharpening (PCSS)
method was applied to integrate NDVI and plant water consumption
calculated from Landsat satellite data. Moreover, four hyperspectral
vegetation indices were calculated from satellite data.
Other data
| Title | PRECISION AGRICULTURE USING ADVANCED REMOTE SENSING TECHNIQUES IN ARID LANDS | Other Titles | الزراعة المحكمة باستخدام التقنيات الحديثة للاستشعار عن بعد فى المناطق القاحلة | Authors | MOHAMED MORTADA RAGAB EL SHARKAWY | Issue Date | 2018 |
Recommend this item
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.