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1.
R. L. Karale K. K. Narula V. Dayal K. M. Saini 《Journal of the Indian Society of Remote Sensing》1989,17(1):23-31
In order to check the premature siltation of the reservoirs and guard against the drop in the irrigation potential, the Government of India has launched the schemes of soil conservation and integrated watershed management in the catchments of RVPs and Flood Prone rivers. Owing to the large financial and manpower commitments needed to implement and execute soil conservation measures over vast catchment areas, a priority approach for treatment was identified. The methodology developed for prioritization of watersheds of a catchment area conceptualizes sedimentation of the reservoirs as a multiplicative function of erosivity value and the delivery ratio. This paper deals with the development of a computerized data base software module ‘WEIGHT’ for determination of erosivity values for the mapping units comprising assemblages of the varying combinations of climate, physiography and slope, land use and cover conditions, soil characteristics (texture, solumn thickness, permeability and pH) and the existing erosion and soil conservation measures. The WEIGHT software package is coded in FORTRON-4 for PDP 11/83 operating system. the data base comprises storage of the attributes of the different erosivity determinants of the mapping units with predetermined erosivity values sequentially on a disk and comparing the attributes of a new mapping unit to get the most probabilities erosivity value. The objective has been to eliminate the personal bias and bring about the objectivity in the process of assigning erosivity values to the different mapping units. The data base design, design logic and operational sequence of the data base are discussed in the paper. 相似文献
2.
R. L. Karale Y. P. Bali C. P. Singh 《Journal of the Indian Society of Remote Sensing》1976,4(1-2):29-36
Panchromatic vertical aerial photographs in the scale of 1: 15,000 were interpreted for assessment of erosion in the Bcas River Valley Project catchment, Himachal Pradesh in terms of the erosion intensity units. The erosion intensity units imply the relative quantum of sediment yield as deduced from the probable interaction of the significant parameters of erosion comprising physiography, slope, soil characteristics, Vegetation, land use and the visible erosion conditions. The procedure of photo-interpretation as also computation of sediment yield index for each of the different watersheds in the Beas RVP catchment is discussed. The survey revealed that out ofa total of 494 watersheds involving an area of 5.5 lakh ha, 132 watersheds comprising an area of 1.55 lakh ha, have silt yield index of over 1150 and need soil conservation measures on priority basis. Application of photo-interpretation has proved 2 times more efficient than the conventionai method that was followed in a piain area of Matatilla RVP catchment. In a more simpler terrain than Beas catchment and with ideal photographic scale of 1:60,000, the efficiency is expected to increase by 2-3 times than was achieved in Beas RVP catchment 相似文献
3.
A Jeyaram R Balasubramanian Y Vxxx N Krishna Murthy R L Karale Balbhir Singh 《Journal of the Indian Society of Remote Sensing》1993,21(3):167-177
Landsat MSS (1982) and IRS LISS-II (1989) data have been used to study the land use/land cover changes in Dalli-Rajhara iron ore mine area. Supervised classification has been performed on the temporal data to generate land use/land cover maps. Land use/land cover categories generated from IRS LISS-II data of 36 m resolution has been resampled to 80 m and areal statistics have been computed for 2, 4, 8 and 10 km wide strips around Dalli-Rajhara iron ore mine. The environmental impact due to on-going mining activities in the area has been analysed. The results of this study indicate that due to increase in mine-related and agricultural activities, forests have been degraded and also forest areas have been reduced considerably. 相似文献
4.
Y. Nagaraja Rao Y. V. Subbarao K. S. Sundara Sarma R. L. Karale K. K. Narula Naveen Kalra 《Journal of the Indian Society of Remote Sensing》1987,15(1):41-47
Maize crop was sown at weekly intervals on six dates in a randomized replicated trial under nonlimiting moisture conditions. The different dates of sowing represent different growth stages in the same given environment. Spectral data were collected using a portable radiometer at different wavelengths, ranging form visible to infrared on two different dates. The spectral reflectance data in the red and infrared region were analysed for their sensitivity to leaf area index and leaf dry biomass. During active crop growth period significant correlations existed between leaf area index and ratio of infrared to red as well as the normalized differences. Similar relationships were also observed between dry biomass and spectral data. However, these relationships were found to be valid upto the crop growth stage when the leaf area index has reached its maximum, corresponding to flowering. Beyond this stage, the spectral reflectances were found to be not related to LAI. The relsults suggest the possibility of obtaining crop phenological information from the spectral response data. 相似文献
5.
V. R. Hegde K. R. Jayaraj R. L. Karale P. Subba Rao 《Journal of the Indian Society of Remote Sensing》1994,22(3):149-153
Extent and distribution pattern of arecanut plantations in Sirsi Taluk, Uttara Kannada District, Kamataka have been studied using IRS, LISS II data. The plantations are found to exhibit perfect zonality, distinct structure and contrasting tonal characteristics and thereby enable their differentiation from other land use/land cover categories encountered in the area. The study not only established the utility of IRS data in acreage estimation of this unique category of land use having significant economic relevance in the area but also in assessing the scope for planning development of spices in these plantations. 相似文献
6.
Degraded lands in Vidarbha region of Maharashtra were assessed using remote sensing technique. District wise land degradation maps were generated on 1:25,0000 scale through visual interpretation of lRS 1A data supported by limited ground survey. It was observed that degraded lands occupy nearly 2.1 million ha or 21.5 per cent of the total geographical area. The analysis of district wise land degradation statistics indicate that. Yavatmal and Akola districts are graded as having most problematic lands in the region. Nagpur, Amravati, Buldana and Wardha districts are categorised as moderately problematic, whereas Gadchiroli, Chandrapur and Bhandara are districts having least problem of degradation. Among the major land forms, the largest degraded area is associated with undifferentiated plain accounting for 1.1 million ha or 12 per cent of the total area of region, which is mostly under cultivation. It thus follows that problem of degradation is more rampant in agricultural land than forest/waste lands. 相似文献
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8.
Studies were undertaken to study physiography and soils in Merida area of Spain with the help of aerial photographs in order to make morphogenetic interpretation of the landscape for a clearer understanding of the distributional pattern of soils. Physiography of the area presents a picture of flat to convex low table lands in step like succession. These were termed as mesitas. The mesitas do not slope regularly from summit to the valley bottom, but show at least three to four changes in the gradient. The diflerent physiographic units and associated soils are discussed. The morphometry of the landscape, especially sequential occurrence of mesitas in step like succession, asymmetric valleys, presence of promontories on lower slopes transverse to the general gradient, idealised alterations of petrocalcic and calcic horizons from mesita summit to valley bottom indicated a major physiographic process of mass movement in the form of rotational slips. The distributional pattern of the soil is explainable on this basis. From the logical sequence of climatic changes and the geologic history of the area, it is believed that after the large scale sedimentation during Miocene period, followed by large scale climatic changes and accompanied by tectonic activities the process of mass moveme. it http://moveme.it could have started sometime in Pliocene. 相似文献
9.
Jawahar L. Sehgal P. K. Sharma R. L. Karale 《Journal of the Indian Society of Remote Sensing》1988,16(3):39-47
Landsat MSS data in the form of BW imagery were used to generate Soil Map of Punjab convering an area of about 5 million ha. MSS bands 2 and 4 (L4) were interpreted singly and combined to form a compostie interpretetion map with which field check, was translated in terms of soils. The abstraction level attained was Great Groups of Soil Taxonomy. The distribution of soils of Punjab, with Aridisols in the SW through Inceptisols in the Central zone, to Alfisols in the NE sectors suggested a strong geographic bias in their evolution. The major soils of the aridic zone (SW sectors of the state) are: Camborthids, Calciorthids, Torripsamments and Torrifluvents and of the Ustic zone (Central Punjab) are Ustochrepts and Haplustalfs (the most productive soils of the State), Ustipsamments and Ustifluvents. The salt affected soils are found interspersed with these soils. In the udic zone (NE fringe), Hapludalfs, Eutrochrepts, Udifluvents, Udorthents and Hapludolls are the major soil formations. The soil map reveals that about one-third of the total area of the state suffers from various soil problems, such as soil salinity and sodicity, water logging, and soil erosion. For increasing agricultural production, these soils need to be brought under the plough. The study leads to conclude that for quick and precise macro level land use planning, the use of Landsat imagery is imperative. 相似文献
10.
Launching of Landsat series and flow of data within and beyond the visual spectrum furnished a potent tool for data acquisition to the earth resources scientists for expanding the teritories of knowledge. Increased capability of computer technology made many advancements possible in the field of Remote Sensing. LARS, Purdue, USA has developed several methodologies for abstracting information from Landsat products in various fields of application. The methods employing algorithms of maximum likelihood and minimum distance have been compared applying the techniques of pooling and deleting of LARS to classify soils of Hapur area, Uttar Pradesh, India. It was found that the maximum likelihood yielded a map with better dispostion of soil-scape but the minimum distance method, by deleting, is seen to be very efficient in class combination and CPU time. The results are discussed in this paper with illustrations. 相似文献