Integrated Remote Sensing, GIS, and GPS Applications in Agricultural Land Use Planning

2018 ◽  
pp. 489-515
Author(s):  
G. P. Obi Reddy ◽  
V. Ramamurthy ◽  
S. K. Singh
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Agricultural Land Use

scholarly journals Studies on Land Resource Inventory for Agricultural Land Use Planning in Northern Transition Zone of India through Remote Sensing and GIS Techniques

2021 ◽  
Vol 13 (06) ◽  
pp. 710-728
Author(s):  
Denis Magnus Ken Amara ◽  
Sayyadsaheb A. Nadaf ◽  
Daniel Hindogbe Saidu ◽  
Osman S. Vonu ◽  
Raymond Morie Musa ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Transition Zone ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Remote Sensing And Gis ◽  
Agricultural Land Use ◽  
Land Resource ◽  
Gis Techniques ◽  
Resource Inventory

scholarly journals An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 364
Author(s):  
Sahar Shahpari ◽  
Janelle Allison ◽  
Matthew Tom Harrison ◽  
Roger Stanley
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Commodity Prices ◽  
Global Scale ◽  
Agricultural Land Use ◽  
Climate Type ◽  
Crop Selection ◽  
Regional Impacts ◽  
Farmer Decision Making

Agricultural land-use change is a dynamic process that varies as a function of social, economic and environmental factors spanning from the local to the global scale. The cumulative regional impacts of these factors on land use adoption decisions by farmers are neither well accounted for nor reflected in agricultural land use planning. We present an innovative spatially explicit agent-based modelling approach (Crop GIS-ABM) that accounts for factors involved in farmer decision making on new irrigation adoption to enable land-use predictions and exploration. The model was designed using a participatory approach, capturing stakeholder insights in a conceptual model of farmer decisions. We demonstrate a case study of the factors influencing the uptake of new irrigation infrastructure and land use in Tasmania, Australia. The model demonstrates how irrigated land-use expansion promotes the diffusion of alternative crops in the region, as well as how coupled social, biophysical and environmental conditions play an important role in crop selection. Our study shows that agricultural land use reflected the evolution of multiple simultaneous interacting biophysical and socio-economic drivers, including soil and climate type, crop and commodity prices, and the accumulated effects of interactive decisions of farmers.

Land characteristics and plant resources in relation to agricultural land-use planning in a humid tropical strand plain, southeastern Thailand

2003 ◽  
Vol 65 (3) ◽  
pp. 133-148 ◽  
Author(s):  
Satoru Okubo ◽  
Kazuhiko Takeuchi ◽  
Benjaporn Chakranon ◽  
Apichart Jongskul
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Plant Resources

scholarly journals Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Land Suitability ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Land Use Allocation ◽  
User Friendly

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

Determination of Drought Threshold for Agricultural Land-use using Satellite Image Analysis Techniques

2020 ◽  
Author(s):  
Jieun Kim ◽  
Jaehyung Yu ◽  
Sang Kee Seo ◽  
Jin-Hee Baek ◽  
Byung Chil Jeon
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Near Infrared ◽  
Agricultural Land ◽  
Irrigation Management ◽  
Satellite Image ◽  
Agricultural Drought ◽  
Agricultural Land Use ◽  
Landsat 8 ◽  
Eastern Area

<p>The climate change causes major problems in natural disasters such as storms and droughts and has significant impacts on agricultural activities. Especially, global warming changed crops cultivated causing changes in agricultural land-use, and droughts along with land-use change accompanied serious problems in irrigation management. Moreover, it is very problematic to detect drought impacted areas with field survey and it burdens irrigation management. In South Korea, drought in 2012 occurred in western area while 2015 drought occurred in eastern area. The drought cycle in Korea is irregular but the drought frequency has shown an increasing pattern. Remote sensing approaches has been used as a solution to detect drought areas in agricultural land-use and many approaches has been introduced for drought monitoring. This study introduces remote sensing approaches to detect agricultural drought by calculation of local threshold associated with agricultural land-use. We used Landsat-8 satellite images for drought and non-drought years, and Vegetation Health Index(VHI) was calculated using red, near-infrared, and thermal-infrared bands. The comparative analysis of VHI values for the same agricultural land-use between drought year and non-drought year derived the threshold values for each type of land-use. The results showed very effective detection of drought impacted areas showing distinctive differences in VHI value distributions between drought and non-drought years.</p>

scholarly journals Agricultural Land Use Planning and Groundwater Quality

1983 ◽  
Vol 14 (1) ◽  
pp. 32-39 ◽  
Author(s):  
ROBERT L. FERRETT ◽  
ROBERT M. WARD
Keyword(s):  
Land Use ◽  
Groundwater Quality ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Agricultural Land Use
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