Extract agricultural land use information from remote sensing image based on object-oriented classification algorithm

2011 ◽  
Author(s):  
Qiang Chen ◽  
Qiu Yin
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Object Oriented ◽  
Remote Sensing Image ◽  
Classification Algorithm ◽  
Agricultural Land Use

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 Role of Relief and Slope in Agricultural Land Use: A Case Study in Valapattanam River Basin in Kannur District, Kerala Using GIS and Remote Sensing

2019 ◽  
pp. 1-11
Author(s):  
P. Jyothirmayi ◽  
B. Sukumar
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Land Use ◽  
River Basin ◽  
Agricultural Land ◽  
Digital Data ◽  
Agricultural Land Use ◽  
Land Use Patterns ◽  
Gis And Remote Sensing ◽  
Erdas Imagine

The land is a delineable area of the earth's surface, encompassing all attributes of the biosphere immediately above or below this surface. Physical characteristics of the land determine agricultural land use. Among them, relief and slope play an important role. Aim of this study is to establish the relationship of relief and slope with agricultural land use in Valapattanam River basin in Kannur district using GIS and Remote sensing. The Survey of India Topographic maps in 1:50000 scale was used as a base map for delineating the basin. Contours were digitized and Digital Elevation Model (DEM) was generated. Agricultural land use map was prepared using satellite digital data by the digital image processing method using ERDAS IMAGINE image processing software. Agricultural land use map was intersected with the relief and slope classes in ArcGIS software. Areas were calculated and the trend of agricultural land use patterns was studied. The study revealed that there is a strong correlation between Agricultural land use and relief and slope in the Valapattanam River basin. Most of the area under paddy, coconut, mixed crops like banana and tapioca concentrated below 20 m height in the coastal plain and valley regions of the basin. Rubber mostly cultivated between 100 and 300 meters with slopes between 3 to 12 degrees. Agriculture is limited up to 18-degree slope and 300 m height. Areas of more than 300 m height are occupied mostly by forest.

scholarly journals Agricultural land-use in China: a comparison of area estimates from ground-based census and satellite-borne remote sensing

1999 ◽  
Vol 8 (5) ◽  
pp. 407-416 ◽  
Author(s):  
Steve Frolking ◽  
Xiangming Xiao ◽  
Yahui Zhuang ◽  
William Salas ◽  
Changsheng Li
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Agricultural Land Use
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