Regional Remote Sensing Center Central

Nāgpur, India

Regional Remote Sensing Center Central

Nāgpur, India
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Bothale R.V.,Regional Remote Sensing Center Central | Joshi A.K.,Regional Remote Sensing Center Central | Krishnamurthy Y.V.N.,Indian Institute of Remote Sensing
Journal of the Indian Society of Remote Sensing | Year: 2013

Hydrologic analysis of microwatersheds is essential for water resources planning at large scale. Space based input for decentralized planning at panchayat level use high resolution DEM. Drainage and slope play important role in planning and Digital Elevations Models (DEM) are widely being used for estimation of hydrologic parameters which are useful as input for hydrologic models. The estimates vary as per resolution and type of DEM. This paper evaluates the suitability of DEM derived through Cartosat-1 satellite stereo data(CartoDEM) for hydrologic parameter estimation of microwatersheds and compares the results with Airborne Laser Terrain Mapper (ALTM) based DEM data. Comparison is based on the hydrologic parameters delineated in Geographical Information System. Microwatersheds are delineated and drainage length extracted using two different cell sizes for both DEMs. Correctness Index, Figure of Merit, visual comparison, Percent within buffer and Junction comparison method, compared extracted river network. Average watershed slope is calculated using three different methods. CartoDEM derived drainage is comparable with ALTM derived drainage. There is high correlation between Carto5 and Caro10 DEMs in terms of drainage delineation and slope calculation. Average watershed slope vary as per calculation methods but average channel slope value (S3) although less, is comparable across DEMs. © 2013 Indian Society of Remote Sensing.


Bhandari S.M.,Indian Center for Climate and Societal Impacts Research | Baba Shaeb K.H.,Regional Remote Sensing Center Central
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2014

We have examined, for the first time, the spatial coherence of oceanic parameters, namely, the ocean surface wind and significant wave height (SWH), using near-instantaneous along-track sampling over vast oceanic tracks provided by Poseidon-2 Radar Altimeter onboard Jason-1. The spatial coherence length scales over the Arabian Sea and the Bay of Bengal regions, derived using Auto correlation analysis, display interesting characteristics in relation to onset and evolution of SW Monsoon over India. The estimated spatial coherence scales are found to be of the order of 100-500 km. Generally, SWH coherence lengths over Arabian Sea are observed to increase from June to July during good monsoon year (2012). This trend is not followed for the poor monsoon year (2002). Similar trend is observed for spatial coherence scales for wind speed. The temporal evolution of analyzed spatial coherence scales of winds and waves over Arabian Sea clearly brings out the distinction between a 'good' (2012) and a 'poor' (2002) monsoon year. The spatial coherence lengths of these parameters over the Bay of Bengal are found to be shorter and do not show any systematic relation to onset and evolution of SW monsoon. Anisotropy in coherence lengths is also analyzed by treating ascending and descending tracks separately. Generally, the descending tracks measurements show higher spatial coherence lengths than the ascending ones. Like the spatial coherence scales, the anisotropy of the coherence scales over the Arabian Sea also mimics the behaviour of the strength of SW Monsoon.


Shaeb K.H.B.,Regional Remote Sensing Center Central | Anand A.,Regional Remote Sensing Center Central | Joshi A.K.,Regional Remote Sensing Center Central | Bhandari S.M.,Indian Center for Climate and Societal Impacts Research
Marine Geodesy | Year: 2015

Significant Wave Height (SWH) measurement data from the AltiKa Radar Altimeter (RA) for the first 13 cycles of satellite coverage are compared with the SWH from Wave Rider Buoys (WRB) located at nine stations along the Indian coast to assess the performance of the altimeter over the coastal region. AltiKa SWH observations within a 30-minute interval and 50 km distance from WRBs are found to be over estimated by 6%, the Root Mean Square Error (RMSE) is 0.36 m, the Scatter Index (SI) is 26%, and the correlation coefficient (r) is 0.91. Relaxing the distance criteria by 50 km leads to increase in RMSE and deterioration of r to 0.89. There is a marked difference in the statistics on the comparison pairs pooled separately for the buoys near west and east coasts, with the latter showing RMSE error 26% more than the former. The method of Cressman weights adopted to correct for the errors arising out of the temporal and spatial differences in altimeter and buoy data comparison pairs resulted in reduction of RMSE by 5% and 25%, respectively, for the 30-minute and 50 km criteria and 4% and 56% for the 30-minute and 100 km criteria. © 2015, Copyright © Taylor & Francis Group, LLC.


Kadam S.A.,Mahatma Phule Agricultural University | Gorantiwar S.D.,Mahatma Phule Agricultural University | Das S.N.,Maharashtra Remote Sensing Application Center | Joshi A.K.,Regional Remote Sensing Center Central
Journal of the Indian Society of Remote Sensing | Year: 2016

Penman–Monteith method adapted to satellite data was used for the estimation of wheat crop evapotranspiration during the entire growth period using satellite data together with ground meteorological measurements. The IRS-1D/IRS-P6 LISS-III sensor data at 23.5 m spatial resolution for path 096 and row 059 covering the study area were used to derive, albedo, normalized difference vegetation index, leaf area index and crop height and then to estimate wheat crop evapotranspiration referred to as actual evapotranspiration (ETact). The ETact varied from 0.86 to 3.41 mm/day during the crop growth period. These values are on an average 16.40 % lower than wheat crop potential evapotranspiration (ETc) estimated as product of reference crop evapotranspiration estimated by Penman–Monteith method and lysimetric crop coefficient (Kc). The deviation of ETact from ETc is significant, when both the values were compared with t test for paired two sample means. Though the observations on ETact were taken from well maintained unstressed experimental plot of 120 × 120 m size, there was significant deviation. This deviation could be attributed to, the satellite images representing the actual crop evapotranspiration as function crop canopy biophysical parameters, condition of the crop stand, climatic and soil conditions and the microclimate variation over area of one hectare. However, Penman–Monteith method represents a flat rate of specific growth stage of the crop. © 2016 Indian Society of Remote Sensing


Bothale R.V.,Regional Remote Sensing Center Central | Katpatal Y.B.,Visvesvaraya National Institute of Technology
Journal of Hydrologic Engineering | Year: 2014

Understanding the variability of rainfall with El Niño Southern Oscillation (ENSO) events at the watershed level is important for water resource managers to discern the pattern of water available for agricultural planning and water and soil conservation. This study was conducted to determine the responses of rainfall and vegetation to El Niño and La Niña events occurring between 2001 and 2011 in the Upper Wardha watershed in Maharashtra, India. Daily rainfall data pertaining to 14 stations in and around the study area were analyzed in conjunction with 16-day global 250-m Normalized Difference Vegetation Index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor abroad the Terra (EOS AM) and Aqua (EOS PM) satellites. Results indicate correlations between ENSO events, rainfall, and vegetation. Both rainfall and vegetation show a positive anomaly during La Niña events and a negative anomaly during El Niño events, but the effects of all events are not the same. A low volume of rainfall with the early onset of monsoon, multimodal rainfall distribution over time, and intermittent rains are the effects of El Niño on rainfall. The effect of La Niña was to produce wetter conditions in the study area. The impacts of moderate to severe ENSO events (in 2009 and 2010) can be predominantly observed on rainfall and vegetation. © 2014 American Society of Civil Engineers.


Varghese A.O.,Regional Remote Sensing Center Central | Sawarkar V.B.,Wildlife Institute of India | Rao Y.L.P.,Indian Institute of Technology Delhi | Joshi A.K.,Regional Remote Sensing Center Central
Journal of the Indian Society of Remote Sensing | Year: 2015

Ardeotis nigriceps, commonly known as Great Indian Bustard (GIB), is a Critically Endangered, Evolutionary Distinct and Globally Threatened (EDGE) and endemic species to the Indian subcontinent. GIB is under tremendous threat in its last strongholds and sliding inextricably towards extinction. The GIB sanctuary in Maharashtra (India) is one of the last refuges of the bird constituting an area of 8496 km2 spread over in seven talukas of Solapur and Ahemednagar districts. Major portion of the sanctuary (94.3 %) consists of privately owned lands under a variety of economic vocations and large number of villages and townships. In view of the legal restrictions relating to Protected Area under the Wildlife (Protection) Act of India 1972, the inhabitants of villages and townships faced a very difficult situation regarding use of their lands, development of properties and deriving benefits from planned local and regional development. This created conflict between local people and the forest department over the use of land, which necessitated the rationalization of the sanctuary. The objective of the present study was to map the suitable habitat of GIB in GIB Wildlife Sanctuary as an input for the realignment of the GIB Sanctuary by identifying areas that are important for the GIB. Main parameters considered for the habitat suitability assessments are, habit and habitat of GIB, slope, minimum patch size and disturbance sources. Based on the criteria derived for the ecological and biological requirements of GIB, binary deductive habitat suitability modeling has been done using remote sensing and GIS and prioritized the potential habitats of GIB. The net area of important suitable habitat of GIB in GIB sanctuary is 2304.99 km2 out of 8496.44 km2. The output of the present study has been used as an input by the committee (set by Honorable Supreme court of India) on rationalization of the GIB Sanctuary and the sanctuary has been rationalized with an area of 1222 km2. © 2015 Indian Society of Remote Sensing


Kannemadugu H.B.S.,Regional Remote Sensing Center Central | Joshi A.K.,Regional Remote Sensing Center Central | Moharil S.V.,Rashtrasant Tukadoji Maharaj Nagpur University
Sustainable Environment Research | Year: 2014

Aerosol optical properties and types are analyzed from Multi-Wavelength Solar Radiometer (MWR) measurements during the period July 2008 to June 2009 over Nagpur (21°06' N, 79°03' E), a tropical station in central India. The highest aerosol optical depth (AOD) characterizes the summer, while lowest AOD has been observed during the monsoon season. The mean and standard deviation values of the Angstrom exponent, α (turbidity coefficient, β), are found to be 0.59 ± 0.27 (0.43 ± 0.22) during the monsoon, 1.04 ± 0.15 (0.27 ± 0.03) during the post monsoon, 1.04 ± 0.08 (0.22 ± 0.05) during winter, 0.82 ± 0.14 (0.27 ± 0.18) during summer. Higher values of α (> 1) during the post monsoon and winter indicate larger abundance of fine mode aerosols, while lower values (< 1) during summer and monsoon indicate abundance of coarse mode aerosol particles. Using the scatter plot of AOD500 versus α380-850, the aerosols arc classified into four main types viz. continental average (CA), urban/indust rial and biomass burning (UB) and desert dust (DD) while the remaining cases are considered as unidentified or mixed type (MT). Dominating type of aerosol during the post monsoon and winter is UB followed by MT. During the monsoon and summer, DD and MT dominate followed by MT and UB. AOD curvature (a2) tends to reach zero for larger AODs indicating negligible wavelength dependence of α. A considerable influence of the columnar water vapor content on a2 for different aerosol types is also observed. This study is for the first time focusing on the aerosol optical properties and discrimination of aerosol types over this region.


Kompalli S.K.,Vikram Sarabhai Space Center | Babu S.S.,Vikram Sarabhai Space Center | Moorthy K.K.,ISRO Head Quarters | Manoj M.R.,Vikram Sarabhai Space Center | And 3 more authors.
Atmospheric Research | Year: 2014

In a first of its kind study over the Indian region, concurrent and extensive measurements of black carbon (BC) concentration and atmospheric boundary layer parameters are used to quantify the role of atmospheric boundary layer in producing temporal changes in BC. During this study, 18months (2011-12) data of continuous measurements of BC aerosols, made over a semi-urban location, Nagpur, in Central India are used along with concurrent measurements of vertical profiles of atmospheric thermodynamics, made using weekly ascents of GPS aided Radiosonde for a period of 1year. From the balloon data, mixed layer heights and ventilation coefficients are estimated, and the monthly and seasonal changes in BC mass concentration are examined in the light of the boundary layer changes. Seasonally, the BC mass concentration was highest (~4573±1293ngm-3) in winter (December-February), and lowest (~1588±897ngm-3) in monsoon (June-September), while remained moderate (~3137±1446ngm-3) in pre-monsoon (March-May), and post-monsoon (~3634±813ngm-3) (October-November) seasons. During the dry seasons, when the rainfall is scanty or insignificantly small, the seasonal variations in BC concentrations have a strong inverse relationship with mixed layer height and ventilation coefficient. However, the lowest BC concentrations do not occur during the season when the mixed layer height (MLH) is highest or the ventilation coefficient is the highest; rather it occurs when the rainfall is strong (during summer monsoon season) and airmass changes to primarily of marine origin. © 2014 Elsevier B.V.


Alappat V.O.,Regional Remote Sensing Center Central | Joshi A.K.,Regional Remote Sensing Center Central | Krishnamurthy Y.V.N.,Regional Remote Sensing Center Central
Journal of the Indian Society of Remote Sensing | Year: 2011

Optical remote sensing data have been extensively used to derive biophysical properties that relate forest type and composition. However, stand density, stand height and stand volume cannot be estimated directly from optical remote sensing data owing to poor sensitivity between these parameters and spectral reflectance. The ability of microwave energy to penetrate within forest vegetation makes it possible to extract information on both the crown and trunk components from radar data. The type of polarization employed determines the radar response to the various shapes and orientations of the scattering mechanisms within the canopy or trunk. This study mainly presents experimental results obtained with airborne E-SAR using polarimetric C and L bands over the tropical dry deciduous forest of Chandrapur Forest Division, Maharashtra. A detailed documentation of the relationship between SAR C & L bands backscattering and forest stand variables has been provided in the present study through linear correlation. Linear correlation of the single channel SAR derived estimates with the field measured means show a good correlation between L HV backscattering coefficient with stand volume (r 2 = 0.71) and L HH backscattering coefficient with stand density (r 2 = 0.75). The results imply that SAR data has significant potential for stand menstruation in operational forestry. © 2011 Indian Society of Remote Sensing.


Bothale R.V.,Regional Remote Sensing Center Central | Pandey B.,TERI University
Journal of the Indian Society of Remote Sensing | Year: 2013

The study evaluates and compares Digital Elevation Model (DEM) data of various grid spacing derived using high resolution Cartosat 1 stereo data for hydrologic applications. DEM is essential in modeling different environmental processes which depend on surface elevation. The accuracy of derived DEM varies with grid spacing and source. The CartoDEM is the photogrammetric DEM derived from stereo pairs. Damanganga basin lying in the Western Ghats was analysed using 11 Carto stereo pairs. The process of triangulation resulted in RMSE of 0.42. DEM was extracted at 10 m, 20 m, 30 m, 40 m, 50 m and 90 m grid spacing and compared with ASTER GDEM (30 m) and SRTM DEM (90 m). DEM accuracy was checked with Root Mean Square Error (RMSE) statistic for random points generated in different elevation zones. Extracted stream networks were compared based on Correctness Index and Figure of Merit index, calculated for all the Digital Elevation Models at varying cell sizes. In order to further evaluate the DEM's, a simple flood simulation with no water movement and no consideration of real time precipitation data was carried out and relationship between heights of flood stage and inundation area for each Digital Elevation Model was also established. © 2012 Indian Society of Remote Sensing.

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