Derivation of seasonal variation maps of the average precipitation in Iraq by using remote sensing data and Geographical Information System

2014 ◽  
Vol 8 (7) ◽  
pp. 4741-4753 ◽  
Author(s):  
Sabah H. Ali ◽  
Namik A. Daood ◽  
Laith K. Ibrahim
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Seasonal Variation ◽  
Geographical Information System ◽  
Remote Sensing Data ◽  
Geographical Information ◽  
Sensing Data ◽  
Average Precipitation

scholarly journals Assessment of Irrigation Potentiality over an Area through the Combined Application of Remote Sensing (RS) and Geographic Information System (GIS)

2020 ◽  
Vol 11 (2) ◽  
pp. 141-148
Author(s):  
Md Abdus Salam ◽  
Farhana Tazneen ◽  
Md Shafiqul Islam ◽  
SM Noman Chy
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Ground Water ◽  
Water Level ◽  
Remote Sensing Data ◽  
Geographical Information ◽  
Ground Water Level ◽  
Secondary Source ◽  
Landsat 8 ◽  
Sensing Data

There is a great influence of irrigated land of an area to the acreage and productions of agricultural crops and thus maintain the food security. Recent awareness about climate change and its impacts on global environmental challenges has drawn the great attention on rational and sustainable handling of irrigation resources and its networks. As one of the cutting-edge technologies remote sensing data and geographical information system (GIS) are very much useful for efficient management of irrigation networks and optimum utilization of irrigation schemes for the sustainable agricultural development. Irrigation potentiality is the total area which can be irrigated from a project on its full utilization. This implies that an area where water is available for irrigation in each season during a complete irrigation year. In the present study an attempt has been made to investigate the irrigation potentiality of an area using remote sensing data as primary source and field data and as well as ground water level data from secondary source. Landsat 8 OLI (Operational Land Imager) data of 2016 and 2017 have been used for this purpose. Existing irrigation system has also been identified through the investigation of natural and artificial sources of irrigation water of the study area. Seasonal irrigated area was also monitored during the crop growing season. Ground water level fluctuation was also studied using ancillary data. Journal of Engineering Science 11(2), 2020, 141-148

ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Plant Productivity ◽  
Saccharum Officinarum ◽  
Geographical Information ◽  
Sugarcane Plant ◽  
Plant Cultivation ◽  
Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol   (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

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