Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
4 results
Search Results
Item Land use scenario analysis and prediction of runoff using SCS-CN method: A case study from the Gudgudi tank, Haveri district, Karnataka, India(2011) Bhagwat, N.B.; Shetty, A.; Hegde, V.S.Runoff from the Gudgudi tank catchment (209 ha) near Hangal in the Northern Karnataka is estimated employing Soil Conservation Services(SCS) model based on the hydrological data and land use/ land cover data. Rainfall measured for 2006 using a tipping bucket indicated annual rainfall of 887.7mm in the tank catchment. Textural characteristics of the soil indicate sandy-clayey type which corresponds to hydrological soil group "C and D". Average Soil infiltration rate of 0.18 cm/hour for the forest-land and 0.21 cm/hour for agriculture land has been observed. Weighted curve number is arrived based on the antecedent moisture conditions, and runoff is estimated for the existing land-use. Areastorage curve is constructed using the tank bed contours. Considering the hypothetical changes in the agriculture and forest area coverage, optimum conditions for maximizing the runoff and storage in the tank is arrived. The analysis suggests land use pattern of 15% of forest cover and 85% of agriculture land coverage in this region provide maximum runoff and storage in the tank for sustainable development. © 2011 CAFET-INNOVA TECHNICAL SOCIETY.Item Characterization of spatial variability of vertisol micronutrients by geostatistical techniques in Deccan Plateau of India(Springer Science and Business Media Deutschland GmbH, 2020) Vinod, V.; Shetty, A.; Shrihari, S.In vertisols, accounting for the spatial variability of micronutrients is important for sustainable agriculture. In this study, the assessment of spatial variability maps is carried out by the geostatistical technique in SpaceStat 4.0®. A total of 68 random soil samples were collected from small-scale agricultural lands from Kalaburagi, Karnataka, India. The chemical analysis for iron (Fe), manganese (Mn), copper (Cu), and zinc (Zn) was carried out in microwave plasma-atomic emission spectroscopy. The coefficient of variation (CV) showed different micronutrients variability (CV > 35%). The significant correlation is among Cu with Fe and Mn (r = 0.753 and 0.258, respectively). The Box–Cox transformation converted the raw data to normal distribution efficiently. Spherical semivariogram model defined the spatial structure for all micronutrients. The nugget/sill ratio specifies that the Zn showed strong spatial dependence and rest micronutrients moderate. Ordinary kriging is applied for generating maps. The spatial variability maps exhibited different distribution pattern; maps generated are utilized as initial guidance for site-specific management practices and the amount of fertilizer application rate planned in the vertisols. The obtained range and spatial distribution maps act as the baseline in this region for administration planners. © 2019, Springer Nature Switzerland AG.Item Land cover change and its implications to hydrological variables and soil erodibility in Lower Baro watershed, Ethiopia: a systematic review(Springer Science and Business Media Deutschland GmbH, 2023) Deneke, F.; Shetty, A.; Fufa, F.Water-induced soil erodibility is the most severe kind of land degradation, with substantial environmental and social consequences. Few studies have been conducted on land cover change and soil erodibility in Ethiopia. During the data search, 83 articles were looked at, with studies published from 2007 to 2022. Only 2% of the abstracts that were considered for assessment were eventually accepted. The review was conducted using the preferred reporting items for systematic reviews and a meta-analysis approach. According to this study, when compared to the values predicted in the river basin’s master plan, Baro Akobo’s estimated surface water potential has been reduced by about 3.6 Bm3. As a result, changes in land cover affected a variety of fundamental processes in watersheds, at several spatial and temporal scales. As a result, of the reviewed, in lower Baro, built-up/settlement, agricultural land, water body, bare/outcrop, and commercial farm all rose by roughly + 195, + 48, + 35, + 35, and + 1%, respectively. Shrubland, rangeland, forest land, and wetland, on the other hand, all decreased by − 1, − 0.5, − 5, and − 10%, respectively. The K-factors are 0.31, 0.23, 0.14, and 0.07 for chromatic vertisols, humic cambisols, eutric cambisols, and eutric nitosols, respectively. From the results of the review studies, the RUSLE looks to be a good alternative for assessing soil erodibility in lower Baro, and soil water conservation measures are crucial for minimizing soil erodibility. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.Item Soil Moisture Retrieval Over Crop Fields from Multi-polarization SAR Data(Springer, 2023) Shilpa, K.; Suresh Raju, C.; Mandal, D.; Rao, Y.S.; Shetty, A.Soil moisture estimation from agriculture fields using SAR measurements is a challenging process owing to the presence of vegetation canopy. In this study, the soil moisture (SM) is retrieved from multi-polarization airborne L- and C-band E-SAR data of different agriculture fields by using the radar parameter, Radar Vegetation Index (RVI). The retrieval methodology employs the semi-empirical Water Cloud Model (WCM) for vegetation-soil system modeling, followed by an inversion algorithm based on a Look Up Table approach. The impact of using different vegetation descriptors, both from in situ measured (Leaf Area Index, Wet Biomass and Vegetation Water Content) and radar derived (L-band RVI and C-band RVI), on the WCM inversion for SM retrieval is examined. The use of the RVI as the vegetation descriptor, which is obtained from C-band data, improves soil moisture retrieval with an RMSE of 7–8% volumetric soil moisture at L-band. © 2023, Indian Society of Remote Sensing.