Agriculture land use changes and the dynamics of climate system: A sustainable approach

2007 ◽  
Vol 35 (2) ◽  
pp. 1061-1064 ◽  
Author(s):  
Mahesh Singh ◽  
Maria Fekete-Farkas ◽  
István Szücs
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Climate System ◽  
Agriculture Land ◽  
System A

scholarly journals Land Use/Land Cover Change of Rabi Season of Rahuri Taluka of Ahmednagar District Maharashtra

2020 ◽  
pp. 20-27
Author(s):  
Payal A. Mahadule ◽  
A. A. Atre ◽  
Ankita P. Kamble ◽  
C. Pande ◽  
S. D. Gorantiwar
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
United States Geological Survey ◽  
Fallow Land ◽  
Land Use Land Cover ◽  
Rabi Season ◽  
Agriculture Land ◽  
Spatio Temporal ◽  
Sentinel 2A

Advanced change location procedures by utilizing multi-temporal satellite symbolism helps in understanding landscape dynamics. The present examination shows the spatio- temporal elements of land use of Rahuri Taluka, Ahmednagar District, Maharashtra, India.  Sentinel 2A satellite imageries of four different months of Rabi season (2019-2020) were acquired by United States Geological Survey (USGS) earth explorer site and quantify the changes in the Rahuri Taluka from October 2019 to January 2020 over a period of 3 months.This study applied supervised classification-maximum likelihood algorithm by using Arc GIS 10.1 Map envision to distinguish land use changes of Rahuri. Land Use/Land Cover (LULC) in the Rahuri has experienced a progression of changes in the course of the last three months. Four significant LULC classes viz; Water body, Built-up Land, Waste/Fallow land, Agriculture land have been distinguished and demonstrate that significant land use in the Rahuri Taluka. Results appears, water bodies was highest in month of October 15.68% (166.48 km2), Agriculture land was highest in month of November 59.77% (634.56 km2) and Waste/Fallow land was significantly higher in month of October 41.1% (437.47 km2) and December 41.7% (442.77 km2) than November 30.54% (324.28 km2). The examination and discoveries of the investigation features significant approach suggestions for the maintainable Land Use/Land Cover the board in the Rahuri.

scholarly journals AGRICULTURAL LAND USE CHANGE ANALYSIS USING REMOTE SENSING AND GIS: A CASE STUDY OF ALLAHABAD, INDIA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 397-402 ◽  
Author(s):  
V. Kumar ◽  
S. Agrawal
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Areas ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Research Work ◽  
Landsat Images ◽  
Change Analysis ◽  
Statistical Research ◽  
Agriculture Land

<p><strong>Abstract.</strong> Urbanization is occurring at a fast rate in India. Population residing in urban areas was 11.4% according to the Census of 1901. This percentage has gradually increased to 31.16% according to the Census of 2011. Conversion of agricultural land into non-agricultural uses is the major side effect of urbanization. The objective of this paper is to identify the changes in the agriculture land and its conversion into other Land Use Land Cover (LULC) type. In order to achieve this objective, mapping of land use changes is done by using the GIS and remote sensing. This study utilizes satellite images along with field survey and statistical data to detect the change of farming land into other LULC type in different tehsils of Allahabad district. This study is carried out over the time period of 18 years that ranges from 2000 to 2018. This work provides the detail of expansion and shrinkage of agriculture and open land at tehsil level. Landsat data is used in this work which is open source and freely downloadable. Landsat images of study period i.e. from 2000 to 2018 are downloaded and then preprocessed. Supervised classification of images is performed using Gaussian maximum likelihood technique. The training samples are collected with the help of ground truth information. After this, identification of land use changes is done on pixel by pixel basis. This would find out the LULC class which is primary responsible for the shrinkage of agriculture land. This spatio-temporal and statistical research work will help to construct a base for a sustainable development model.</p>

scholarly journals Land-Use and Land Cover Changes on the Slopes of Mount Meru-Tanzania

2018 ◽  
Vol 13 (3) ◽  
pp. 331-352
Author(s):  
ALDO. J. KITALIKA ◽  
REVOCATUS. L. MACHUNDA ◽  
HANS. C. KOMAKECH ◽  
KAROLI. N. NJAU
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Cover ◽  
Land Use Changes ◽  
Mixed Forest ◽  
Spatial Filter ◽  
Software Environment ◽  
Agriculture Land ◽  
The Future ◽  
Environmental Transitions

The study of spatial land use and land change is inevitable for sustainable development of land use plans. Environmental transitions analysis was done in part of the land on the slopes of the foothills of Mount Meru in thirty (30) years’ time from 1986 to 2016 using satellite-derived land use/cover maps and a Cellular Automata (CA) spatial filter under IDRISI software environment and assessed the important land use changes. Also, the future land use for 2026 which is the next ten (10) years was simulated based on Cellular-Automata Markov model. The results showed significant land use transitions whereby there is a huge land use change of bush land (BL) and agriculture land (AG) into human settlement (ST) which resulted into conversion of Arusha town into a City. In addition, the changes have caused slight changes in water bodies into mixed forest. Moreover, the future land use/land cover (LULC) simulations indicated that there will be unsustainable LULC changes in the next ten years since most of bush land and part of agriculture land will be used for building different structures thus interfering with fresh water and food availability in the City. These changes call upon the relevant planning authorities to put in place the best strategies for good urban development.

scholarly journals Long-Term Perspective Changes in Crop Irrigation Requirement Caused by Climate and Agriculture Land Use Changes in Rechna Doab, Pakistan

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1567 ◽  
Author(s):  
Arfan Arshad ◽  
Zhijie Zhang ◽  
Wanchang Zhang ◽  
Ishfaq Gujree
Keyword(s):  
Land Use ◽  
Meteorological Parameters ◽  
Land Use Changes ◽  
Crop Water ◽  
Irrigation Requirement ◽  
Cropping Patterns ◽  
Agriculture Land ◽  
The Future ◽  
Sown Area ◽  
Crop Irrigation

Climate change and agriculture land use changes in the form of cropping patterns are closely linked with crop water use. In this study the SDSM (statistical downscaling model) was used to downscale and simulate changes in meteorological parameters from 1961 to 2099 using HadCM3 General Circulation Model (GCM) data under two selected scenarios i.e., H3A2 and H3B2. Results indicated that Tmax, Tmin, and wind speed may increase while relative humidity and precipitation may decrease in the future under both H3A2 and H3B2 scenarios. Downscaled meteorological parameters were used as input in the CROPWAT model to simulate crop irrigation requirement (CIR) in the baseline (1961–1990) and the future (2020s, 2050s and 2080s). Data related to agriculture crop sown area of five major crops were collected from Punjab statistical reports for the period of 1981–2015 and forecasted using linear exponential smoothing based on the historical rate. Results indicated that the cropping patterns in the study area will vary with time and proportion of area of which sugarcane, wheat, and rice, may exhibit increasing trend, while decreasing trend with respect to the baseline scenario was found in maize and cotton. Crop sown area is then multiplied with CIR of individual crops derived from CROPWAT to simulate Net-CIR (m3) in three sub-scenarios S1, S2, and S3. Under the H3A2 scenario, total CIR in S1, S2, and S3 may increase by 3.26 BCM, 12.13 BCM, and 17.20 BCM in the 2080s compared to the baseline, while under the H3B2 scenario, Net-CIR in S1, S2, and S3 may increase by 2.98 BCM, 12.04 BCM, and 16.62 BCM in the 2080s with respect to the baseline. It was observed that under the S2 sub-scenario (with changing agriculture land-use), total CIR may increase by 12.13 BCM (H3A2) and 12.04 BCM (H3B2) in the 2080s with respect to the baseline (1961–1990) which is greater as compared to S1 (with changing climate). This study might be valuable in describing the negative effects of climate and agriculture land use changes on annual crop water supply in Rechna Doab.

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