Soil fertility assessment for optimal agricultural use using remote sensing and GIS technologies

2021 ◽  
Author(s):  
Mohamed A. E. AbdelRahman ◽  
Rehab H. Hegab ◽  
Taher M. H. Yossif
Keyword(s):  
Remote Sensing ◽  
Soil Fertility ◽  
Remote Sensing And Gis ◽  
Gis Technologies ◽  
Agricultural Use

scholarly journals Estimating grassland yields using remote sensing and GIS technologies in China

1998 ◽  
Vol 41 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Li Jianlong ◽  
Liang Tiangang ◽  
Chen Quangong
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Gis Technologies

scholarly journals DISTRIBUTION OF RESTORATION SUCCESSIONS IN TAIGA AND FOREST-STEPPE LANDSCAPES OF THE PERMSKY PRIKAMYE (ON THE EXAMPLE OF AGRICULTURAL LANDS)

2021 ◽  
Vol 31 (4) ◽  
pp. 416-424
Author(s):  
A.P. Belousova ◽  
N.N. Nazarov
Keyword(s):  
Remote Sensing ◽  
Soil Fertility ◽  
Forest Cover ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Forest Steppe ◽  
Landscape Changes ◽  
Agricultural Lands ◽  
Natural Factors ◽  
Agricultural Use

The research of forest cover development on agricultural lands in the Perm Prikamye was carried the example of taiga and forest-steppe types of landscapes. The Babkinsko-Yugovskoy and Irensko-Kungursky landscapes were select for research. Received information about the geosystem condition in different years using remote sensing data. All landscape changes were record during the formed stable snow cover. As a result, was divide into two classes - forested and treeless areas. Established, the main natural factors of land differentiation by an areas and a pace of withdrawal from agricultural use are the small contours of agricultural land and differences in soil fertility. The growth pace of forest geosystems within the forest-steppe landscape was 2.5 times higher than of the taiga. The research of the dynamics of forest cover showed that in the Perm Prikamye in the forest-steppe landscape substitution of anthropogenic geosystems with natural-anthropogenic ("wild") accompanied by the development of forest biogeocenosis, not steppe.

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