scholarly journals GIS and remote sensing techniques in Controlled Environment Agriculture: A review

2021 ◽  
Vol 26 (2) ◽  
pp. 10-23
Author(s):  
Abdulrahim M. Al-Ismaili
Keyword(s):  
Remote Sensing ◽  
Database Management ◽  
Temporal Dynamics ◽  
Database Management System ◽  
Land Suitability ◽  
Aerial Images ◽  
Controlled Environment ◽  
Suitability Analysis ◽  
Gis And Remote Sensing ◽  
Controlled Environment Agriculture

Geographic Information System (GIS) and Remote Sensing (RS) are useful tools in environmental monitoring, evaluation and analysis for various sectors including agriculture. This paper reviews the applications of GIS, RS and the integration of both techniques in the agricultural field, in general, and Controlled Environment Agriculture (CEA), in particular. More emphasis is given to their applications in arid areas and Oman is taken as a case study. GIS techniques have been used in the mapping of soil and water quality, spatial assessment for water quantity stress, land suitability, pest and disease distribution of crops as well as delineating and generating database management systems (DBMS) for protected cultivations. In Oman, GIS was only employed to analyse the spatio-temporal dynamics of land use changes as affected by external factors and greenhouses as an example in northern part. RS was also utilised to map the changes in land cover and their uses, detect and map soil salinity, and monitor agricultural droughts. In CEA, RS was utilised for mapping, detection and classification of greenhouses through aerial images and satellites. In Oman, negligible study was documented on the use of RS techniques in the CEA field. The integration of both techniques has proven its capability in mapping, evaluating and managing natural resources and greenhouse distribution and generating database management system in agriculture and CEA fields. Sophisticated geostatistical analysis models based on Multi-criteria analysis using Fuzzy-logic and Analytic Hierarchy Process could be a good platform for trade-off analysis for land suitability analysis and optimal location of CEA in challenging agriculture like Oman.

scholarly journals Change Detection and Land Suitability Analysis for Extension of Potential Forest Areas in Indonesia Using Satellite Remote Sensing and GIS

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 398 ◽  
Author(s):  
Nety Nurda ◽  
Ryozo Noguchi ◽  
Tofael Ahamed
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Satellite Remote Sensing ◽  
Land Suitability ◽  
Landsat 8 ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Expert Opinions ◽  
Detection Analysis ◽  
The Government

The objective of this research was to detect changes in forest areas and, subsequently, the potential forest area that can be extended in the South Sumatra province of Indonesia, according to the Indonesian forest resilience classification zones. At first, multispectral satellite remote sensing datasets from Landsat 7 ETM+ and Landsat 8 OLI were classified into four classes, namely urban, vegetation, forest and waterbody to develop Land Use/Land Cover (LULC) maps for the year 2003 and 2018. Secondly, criteria, namely distance from rivers, distance from roads, elevation, LULC and settlements were selected and the reclassified maps were produced from each of the criteria for the land suitability analysis for forest extension. Thirdly, the Analytical Hierarchy Process (AHP) was incorporated to add expert opinions to prioritize the criteria referring to potential areas for forest extension. In the change detection analysis, Tourism Recreation Forest (TRF), Convertible Protection Forest (CPF) and Permanent Production Forest (PPF) forest zones had a decrease of 20%, 13% and 40% in area, respectively, in the forest class from 2003 to 2018. The Limited Production Forest (LPF) zone had large changes and decreased by 72% according to the LULC map. In the AHP method, the influential criteria had higher weights and ranked as settlements, elevation, distance from roads and distance from rivers. CPF, PPF and LPF have an opportunity for extension in the highly suitable classification (30%) and moderately suitable classification (41%) areas, to increase coverage of production forests. Wildlife Reserve Forests (WRFs) have potential for expansion in the highly suitable classification (30%) and moderately suitable classification (52%) areas, to keep biodiversity and ecosystems for wildlife resources. Nature Reserve Forests (NRFs) have an opportunity for extension in the highly suitable classification (39%) and moderately suitable classification (48%) areas, to keep the forests for nature and biodiversity. In case of TRF, there is limited scope to propose a further extension and is required to be managed with collaboration between the government and the community.

Land suitability evaluation criteria for agricultural crop selection: A review

2016 ◽  
Vol 37 (2) ◽  
Author(s):  
Chiranjit Singha ◽  
Kishore Chandra Swain
Keyword(s):  
Fuzzy Logic ◽  
Management Practices ◽  
Evaluation Criteria ◽  
Multicriteria Analysis ◽  
Land Suitability ◽  
Cropping Pattern ◽  
Agricultural Crop ◽  
Suitability Analysis ◽  
Gis And Remote Sensing ◽  
Multi Criteria Evaluation

Land suitability study for agriculture is a very important technique in deciding future agricultural cropping pattern, planning and activities. Land suitability analysis is an assessment of an area to determine how proper or appropriate it is for a particular use of the land (such as growing a crop variety) in a particular location. Land suitability tools have been extensively applied to identify better management practices in agricultural areas. Soil and landscape properties are essential in this type of evaluation, fact that makes especially interesting, is the coupling of this type of model with Geographic Information Systems (GIS) and Remote sensing (RS). The integration of RS-GIS, Fuzzy-logic and application of Multi-Criteria Evaluation using Analytical Hierarchy Process (AHP) could provide a superior database and guide map for decision makers considering crop land substitution in order to achieve better agricultural production. A review was carried out for different multicriteria analysis to develop land suitability maps. Fuzzy-logic integrated with Multi-Criteria Evaluation in GIS environment found most suitable for agricultural crops.

scholarly journals Remote Sensing and GIS based site suitability analysis for tourism development in Vaishali block, Bihar

2021 ◽  
Vol 15 (2) ◽  
pp. 12-22
Author(s):  
Rajesh Jayaraman ◽  
B.Santhosh Kumar ◽  
Sudhir Kumar Singh
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Tourism Development ◽  
Remote Sensing And Gis ◽  
Suitability Analysis ◽  
Force Factor ◽  
Gis And Remote Sensing ◽  
Gis Applications ◽  
Travel Industry

Geographic Information Systems (GIS) and Remote Sensing are presently recognized generally as an improve instrument for overseeing, breaking down, and showing gigantic volumes of fluctuated information suitable to numerous neighborhood and provincial arranging exercises. Because of the composite idea of the travel industry arranging issues, the planned of GIS in settling these issues is progressively perceived. This paper will think a portion of the conceivable outcomes of GIS applications in the travel industry arranging. For the most part, GIS applications in the travel industry have been tight to recreational office stock, the travel industry situated land the board, and diversion untamed life strife; and have been thin by absence of financing, and awkward techniques. Utilizing the case of site wellness investigation for the travel industry improvement and mapping, this paper features a few uses of GIS in the travel industry arranging in vaishali square, Bihar. According to our present investigation; the most reasonable the travel industry site recognized by the examination is inside significant towns. The urban focus with plausibility to develop into the travel industry focuses. The rest of the land shows a low appropriateness scale because of absence of significant appreciation for make a solid force factor. Availability is an essential for the travel industry advancement. Great street organize availability with closeness to railroads station or air terminal demonstrated solid vacationer potential site, this combined with proximity to grand magnificence delineates high appropriateness. Significant vacation destinations, for example, legacy locales, gardens and water bodies or lake demonstrated high appropriateness. This can be corresponded to the way that legacy destinations and other high appropriate highlights are converted into reasonable the travel industry site.

scholarly journals A MANAGEMENT OF REMOTE SENSING BIG DATA BASE ON STANDARD METADATA FILE AND DATABASE MANAGEMENT SYSTEM

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 653-657
Author(s):  
H. Wu ◽  
K. Fu
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Management System ◽  
Database Management ◽  
High Capacity ◽  
Remote Sensing Data ◽  
Large Data ◽  
Remote Sensing Image ◽  
Database Management System ◽  
Metadata Standard

Abstract. As a kind of information carrier which is high capacity, remarkable reliability, easy to obtain and the other features，remote sensing image data is widely used in the fields of natural resources survey, monitoring, planning, disaster prevention and the others (Huang, Jie, et al, 2008). Considering about the daily application scenario for the remote sensing image in professional departments, the demand of usage and management of remote sensing big data is about to be analysed in this paper.In this paper, by combining professional department scenario, the application of remote sensing image analysis of remote sensing data in the use and management of professional department requirements, on the premise of respect the habits, is put forward to remote sensing image metadata standard for reference index, based on remote sensing image files and database management system, large data serialization of time management methods, the method to the realization of the design the metadata standard products, as well as to the standard of metadata content indexed storage of massive remote sensing image database management.

scholarly journals Land Suitability Analysis for UrbanPlan Preparation Using Remote Sensing and GIS A Case of Anand-Vidyanagar-Karamsad Development Plan

10.29007/xcm1 ◽  
2018 ◽  
Author(s):  
Mehul Darshak ◽  
Rajan Zala ◽  
Manthan Bhandari ◽  
Dr. Shashikant Kumar
Keyword(s):  
Remote Sensing ◽  
Urban Development ◽  
Remote Sensing And Gis ◽  
Land Suitability ◽  
Development Plan ◽  
Gis Analysis ◽  
Suitability Analysis ◽  
Land Utilization ◽  
Land Suitability Analysis ◽  
Selection Of

Land Suitability analysis is important for preparation of Development Plan. The planning requires undertaking study of topography, water resources, land utilization, and development needs. The RS & GIS techniques offers suitable analytical opportunity to study variables required for selection of sites for various uses. This paper presents process adopted for the preparation of development plan of Anand Vidyanagar Karamsad Urban Development Authority (AVKUDA), regarding the land suitability analysis. The location and types of land to be protected were identified using RS Data and GIS analysis. Keywords— AVKUDA; Land Suitability; Planning; RS & GIS

scholarly journals Remote Sensing and Land Suitability Analysis to Establish Local Specific Inputs for Paddy Fields in Subang, West Java

2016 ◽  
Vol 33 ◽  
pp. 94-107 ◽  
Author(s):  
Widiatmaka ◽  
Wiwin Ambarwulan ◽  
Paulus B.K. Santoso ◽  
Supiandi Sabiham ◽  
Machfud ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Suitability ◽  
Paddy Fields ◽  
Suitability Analysis ◽  
West Java ◽  
Land Suitability Analysis
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