Land suitability evaluation in yaadhalli-1 microwatershed of Yadgir taluk and District of Karnataka, India, using remote sensing and geographical information system (GIS) tools (original) (raw)
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To reduce the human influence on natural resources and to identify an appropriate land use, it is essential to carry out scientific land evaluations. Such kind of analysis allows identifying the main limiting factors for the agricultural production and enables decision makers to develop crop managements able to increase the land productivity. Objectives of this study were to develop a GIS based approach for land use suitability assessment which will assist land managers and land use planners to identify areas with physical constraints for a range of nominated land uses. Georef-erenced soil survey data and field work observations have been integrated in a GIS based land use suitability assessment for agricultural planning in Chamarajanagar district, Karnataka, India. Also, GIS has been used to match the suitability for main crops based on the requirements of the crops and the quality and characteristics of land. Different land quality parameters, viz. soil texture, depth, erosion, slope, flooding and coarse fragments under various land units were evaluated for the crops. Subsequently all of them were integrated using a sequence of logical operations to generate land suitability and capability maps. Suitability and capability maps for each land use were developed to illustrate these suitability degrees and display the spatial representation of soils suitable for agriculture. It was also found that better land use options could be implemented in different land units as the conventional land evaluation methods suffer from limitation of spatial analysis for the suitability of various crops.
2010
Pavagada taluk of Tumkur district in Karnataka is one of the most backward taluks receiving less than 500 mm annual rainfall. The maximum area of the taluk is under monocropping, reasons for the same were not documented well. The present study was carried out using remote sensing data along with field survey and laboratory analysis for assessing the potentials and limitations of soil. Using the basic information on soil, climate and topography based on the matching exercise between the growth and production requirements of the crop, suitability of soils for groundnut, paddy and finger millet was assessed as per FAO land evaluation. The soil suitability maps were prepared using Arc GIS software. About 48 per cent of the total area was moderate to marginally suitable and 13 per cent of the area was not suitable for both groundnut and finger millet. Lowland areas covering 12 per cent of the area was highly suitable, 15 per cent was moderate to marginally suitable and 20 per cent was not suitable for paddy cultivation.
In precision farming, knowledge of spatial variability in soil properties is important. The soil map shows soil series and phases like stoniness, gravelliness, salinity, sodicity, rockiness, surface crusting, soil erosion and wetness which limit the use of land for crop production. Soil resources inventory of Medak Nala watershed in Karnataka was conducted through visual interpretation of IRS IC/ID LISS III FCC in conjunction with geological and topographical information supported by limited field study and laboratory analytical data. Based on the visual interpretation and contour information from SOI (Survey of India) toposheets, a physiographic map was prepared; broadly seven physiographic units were identified. These were divided into 50 divisions based on tonal variations noticed in the imagery due to land use/ land cover, surface roughness, crop residues and tillage conditions. These physiographic units were merged and 26 soil mapping units were identified after detailed field study and laboratory analysis of the soil samples. Finally 20 soil series were identified and classified up to family level. Taxonomically soils were classified under Inceptisols, Alfisols, Vertisols and Entisols. Spatial distribution of soils under varied physiographic settings is mapped. Based on the morphological, physical and chemical properties of soils and related information, the soils have been classified into various land capability classes, which indicates the productive potentials and limitations. This information is very helpful in evaluation of the land and to suggest appropriate alternate land use practices.
A study was undertaken to evaluate twenty-one soil series of Ganjigatti sub-watershed of Dharwad district in Northern transition zone (zone-8) of Karnataka for sustainable land use planning. The soil series were AKT (Attikatti), ASR (Adavisomapura), BGD (Bagadgeri), BGH (Bigidigala), BNK (Bhogenagarkoppa), BTP (Bettadapura), GJG (Ganjigatti), HNL (Hirehonnalli), HRG (Harugeri), KDK (Kadanakoppa), KMD (Kamadhenu), KRK (Kuradikeri), MLP (Mahalingpur), MRK (Mishrikoti), MVD (Mevundi), RMN (Ramanala), SDK (Sangedevarakoppa), SGL (Singatalur), SSK (Surashettikoppa), UGK (Ugginakeri) and YSJ (Yelisirur). Based on texture, depth, slope, erosion, graveliness and stoniness, the twenty-one soil series were mapped into sixty-one mapping units by using ArcGIS V 10.8. The soil mapping units were evaluated for potential soil site suitability for major fruits crops viz., mango, guava, pomegranate, sapota, citrus and grapes. The soil series BGD, BNK, KDK, KMD, KRL, MLP, MRK, SDK, SSK and YSJ were currently not suitable for production of mango, guava, pomegranate, sapota, citrus and grapes due to very severe limitations of soil depth and slope per centage. Whereas; AKT, BGH and MVD series are moderately to marginally suitable for cultivation of these six fruit crops. These results could be used as baseline information for identifying specific soil resource constraints for sustainable production of these crops in the study area.
GIS based Land Use Suitability of Diversified Cropping Systems in Bareli Watershed
International Journal of Economic Plants, 2021
A study was undertaken to evaluate the soils in Bareli watershed, Seoni district of Madhya Pradesh for sustainable land use planning. Five soil series namely, Diwartola, Diwara, Bareli-1, Bareli-2 and Bareli-3 were tentatively identified and mapped into twenty-four mapping units and a soil map was generated using remote sensing and Geographic Information System (GIS) techniques. The land information generated during soil survey has been used to evaluate land capability, land irrigability, soil productivity and soil-site suitability for some medicinal, aromatic and spices crops. The soils were grouped into land capability sub-classes IVs and IVst and land irrigability sub-classes 2st, 3s, 3st and 4st. Soils of Diwartola, Bareli-1 and Bareli-3 were average and soils of Diwara and Bareli-2 were poor in soil productivity based on limitations of erosion, drainage and physicochemical properties. Soil-site suitability assessment reveals that soils of Bareli-1 were moderately suitable (S2) ...
Acta Scientific Agriculture , 2020
The study was conducted using existing soil data from Nawagaon and Maskara Rao watershed boundary in Shaharanpur district, India to assess land capability classes using Remote Sensing and GIS approach. Land sat image was integrated with SRTM DEM for delineation of landforms and analysis of land use/land cover data. The filled SRTM DEM of the study area was extracted at 30 m resolution to extract terrain parameters such as elevation, slope and aspect. SRTM DEM was visually interpreted. Three major landforms were identified, namely, 3 landforms-hills, piedmont plains and alluvia plains. These were further delineated according to slope and finally according to vegetation cover to give eight physiographic units. The slope map and aspect map were produced using filed Dem and were classified into nine and two classes respectively. Land use/land cover map was also generated using satellite image for the study area in India. The dominant land use was: dense forest, degraded forest, crop land I, crop land II, scrub/barren, settlement, river, canal and road. Based on the slope map, land characteristics of each physiographic unit and land capability criteria for land qualities, land capability classes were assigned and were translated into a land capability map. The soils were placed in seven classes (I, II, III, IV, VI, VII and VIII). Both the GIS approach and LCC evaluation using criteria rating of FAO gave the same classes for the mapped soil. The study revealed that soils from the study areas varied with different physiographic unit, therefore soils of the hilly areas should be put to use for nature conservation other than arable production while the lower portion should be cultivated with intensive care for arable crops. Land is one of the most important natural resources, which plays an important role in the economic life of a majority of people in the world. Land is a limited resource and with increasing population, the demands for land become more competitive. Any given area of land can have a multiple of potential uses and may need to be considered in planning land resources. Soil is also a product of interactions among parent material, relief, climate, organisms over
International Journal of Environment, Agriculture and Biotechnology, 2016
The main aim of this study was to assess the soils of Bogur microwatershed in Northern Transition Zone of Karnataka for sustainable production of maize and paddy. Seven land qualities including water availability index (W), oxygen availability (O), nutrient availability index (NAI), water retention (I), rooting conditions (R), excess of salts (Sa) and topography (T) were selected and their suitability evaluated. Four soils series: Singhanhalli, Bogur, Mugli and Venkatapur and seventeen soil units including SGH-c-d4-Be1 belonging to Singhanhalli series; MGL-cl-d3-De2 belonging to Mugli series; BGR1-sl-d4-Ce2, BGR2-c-d5-Be1, BGR3-sl-d4-Ce3 and BGR4-cl-d5-Ce2 belonging to Bogur series; and VKP1-sc-d4-Ce2, VKP2-sl-d3-Ee4, VKP3-c-d5-Be1, VKP4-sl-d2-Be1, VKP5-scl-d4-De3, VKP5-scl-d3-De2, Vkp5-scl-d4-Be2, VKP5-scl-d3-Ce2, VKP6-cl-d4-Ce2, VKP7-sl-d2-De3, and VKP8-sl-d4-De3 belonging to Venkatapur series, were identified. Singhanhalli series covers 78.5 ha (10.3%); Mugli series covers 22.1 h...
Journal of Geographic Information System, 2021
Land suitability analysis is a prerequisite to achieving optimum utilization of available land resources. Hence, a study on land resource inventory for agricultural land use planning was conducted in the Northern Transition Zone of India to determine land capability and develop a suitability map for wheat and sorghum-based on physical and climatic factors of production using remote sensing and GIS techniques. Detailed soil survey information was used for this exercise. Four series (Singhanhalli, Mugli, Bogur and Venkatapur series) were identified and mapped into seventeen mapping units. Land capability classification showed that a greater portion of the study area belonged to class III followed by class IV with limitations of erosion, wetness and varying soil properties. Four land capability classes viz., II, III, IV, and VI, and seven subclasses viz., IIsf, IIItsf, IVs, IVt, IVts, IVtsf and VIt were identified. Major limitations of these subclasses were slope, erosion, depth, texture, coarse fragments, pH, organic carbon and base saturation. Soil suitability assessment revealed that the soils are moderately suitable to permanently not
2018
Agroforestry provides the foundation for climate-smart agriculture to withstand the extreme weather events. The aim of the present study was to identify the land of Samastipur, Bihar, India for agroforestry, based on GIS modeling concept utilizing various ancillary (soil fertility) and satellite data (DEM, wetness, NDVI and LULC) sets. This was achieved by integrating various thematic layers logically in GIS domain. Agroforestry suitability maps were generated for the Samastipur district of Bihar, India which showed 48.22 % as very high suitable, 22.83 % as high suitable, 23.32% as moderate suitable and 5.63% as low suitable. The cross evaluation of agroforestry suitability with LULC categories revealed that the 86.4 % (agriculture) and 30.2% (open area) of land fall into a very high agroforestry suitability category which provides the huge opportunity to harness agroforestry practices if utilized scientifically. Such analysis/results will certainly assist agroforestry policymakers and planner in the state of Bihar, India to implement and extend it to new areas. The potentiality of Remote Sensing and GIS can be exploited in accessing suitable land for agroforestry which will significantly help to rural poor people/farmers in ensuring food and ecological security, resilience in livelihoods.
Land evaluation procedure given by FAO for soil site suitability for various land utilization types has been used to assess the land suitability for different crops and for generating cropping pattern for kharif (summer) and rabi (winter) seasons in Kheragarah tehsil of Agra. Kheragarah tehsil suffers from many types of land degradation such as such as salinity, watelogging, ravines, degraded hills and rock quarries (AIS & LUS, 2000). The database on soil, land use/land cover was generated from data derived from IRS -P6 remote sensing satellite and soil survey to perform an integrated analysis in the geographic information system environment. Agricultural and non-agricultural lands were delineated using the Decision Tree Classifier (DTC) and non-agricultural areas were masked for removal from future analysis. Different soil chemical parameters and physical parameters were evaluated for different crops. Subsequently all of them were integrated using a multi criteria decision making and GIS to generate the land suitability maps for various crops. Kharif and rabi season cropping patterns maps were developed by integrating crop suitability maps for the winter and summer seasons separately. Results indicated that about 55 % is highly suitable (S1) for sugarcane and 60%, 54% and 48 % of the area are moderately suitable (S2) for cultivation pearl millet, mustard and rice respectively. 50 % of the area is found to be marginally suitable (S3) for growing maize. It was also found that better land use options could be implemented in different land units as the conventional land evaluation methods suffer from limitation of spatial analysis for the suitability of various crops.