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Rao S.S.,Indian National Remote Sensing Centre | Sahadevan D.K.,Indian National Remote Sensing Centre | Wadodkar M.R.,Regional Remote Sensing Center Central | Nagaraju M./.S.S.,National Bureau of Soil Survey & Land Use Planning | And 8 more authors.
Journal of the Indian Society of Remote Sensing | Year: 2016

The study was carried out to evaluate the global soil moisture product of Advanced Microwave Scanning Radiometer-2 (AMSR-2), Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E), Soil Moisture and Ocean Salinity (SMOS) and Tropical Rainfall Measuring Mission’s (TRMM) Microwave Imager (TMI) in central region of India for monsoon period of 2011 and 2013. The evaluation was done using 100, 75 in-situ soil moisture measurements of 2011, 2013 respectively. The in-situ measurements were spread across ~10,000 sq.km area which is roughly equal to 12 pixels of SMOS, AMSR-2 AMSR-E and TMI data. The result shows reasonable correlation of r2 = 0.506, 0.467 between SMOS and in-situ soil moisture for 2011, 2013 respectively. TMI exhibits good correlation of r2 = 0.55 in 2013 but failed to do the same in 2011. AMSR-2 soil moisture products shows moderate correlation r2 = 0.32 in 2011 but poorly correlated in 2013. © 2016 Indian Society of Remote Sensing

Khobragade A.N.,Maharashtra Remote Sensing Applications Center
Advances in Intelligent Systems and Computing | Year: 2015

Agriculture department plays vital role on forecasting crop production and acreage estimation in the State. Commodity market estimates crop production on the basis of crop mass arrival in market and field prediction from authorized sources like Crop Advisory Boards. However, it is obvious that estimates from such board and government are often remains unmatched due to non-qualitative and unreliable approaches. The timely and accurate acreage estimation of crop is the pre-requisite for the purpose of better management upon crop production estimation. The conventional methods of gathering information on crop acreage are cumbersome, costly, and protracted, especially when the extent of work is whole county. The crop acreage statistics proves more crucial in event of natural calamity for taking strategic decisions like compensations to farmers based on losses they come up with. In a nutshell, non-availibity of accurate and finely estimated forecast necessitates the formation of coherent policy on fixing up agricultural commodity prices. Finally, soft classification approaches proved to be an alternative to error prone crop statistics by virtue of machine learning algorithms that applied on remote sensing images, a third eye technology which never lies. This paper conferred about gamut of machine learning algorithms for satellite data applications and envisages future trends that would be a magnet for researchers in upcoming years. © Springer International Publishing Switzerland 2015.

Khobragade A.N.,Maharashtra Remote Sensing Applications Center
11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014 | Year: 2015

With the advent of numerous remote sensing sensors available for the researcher, the fusion of digital image data has become a imperative tool for classifying remote sensing image and evaluation too. Remote sensing image fusion not only improves the spatial resolution of the original multispectral image, but also improves the spectral quality of merged product. Quantitative and qualitative digital image fusion is an emerging research domain that motivates the scholars for producing high quality image with best multi-spectral capabilities. PAN Sharpened images endow with increased interpretation capabilities as data with various distinctiveness are combined and process effectively. The objective of satellite data fusion is to reduce uncertainty and minimize redundancy in the merged image while maximizing relevant details particular to remote sensing applications. Horticulture in India having great impact on agro based economy. It motivates us for carrying research as very few attempts are made in order to address the issues pertaining with horticulture application of remote sensing. Referring to the results obtained from quantitative and qualitative analysis of fused images, it is obvious that Brovey and Wavelet algorithms outperformed as compared to others. © 2014 IEEE.

Bhagia N.,Space Applications Center | Bairagi G.D.,Madhya Pradesh Remote Sensing Applications Center | Pandagre S.,Madhya Pradesh Remote Sensing Applications Center | Patel G.,Space Applications Center | And 4 more authors.
Journal of the Indian Society of Remote Sensing | Year: 2016

A scheme called National Food Security Mission was launched by Government of India in 2007 for wheat, rice and pulses crops. At the request of Ministry of Agriculture for monitoring intensification of pulses a project called Pulses Intensification was taken up in Rabi season 2012–2013. Reliable statistics using advanced methods is very important for variety of pulse crops. Remotely sensed data can help in pre-harvest area estimation of pulse crops. Pulses in India are grown as partly scattered and partly contiguous crop. Growth in scattered areas and poor vegetation canopy of some of the pulse crops poses a challenge in its identification and discrimination using remotely sensed data. National Inventory of Rabi pulse crops in major growing regions of northern and southern parts of India was attempted. Multi-date AWiFS data and multi-date NDVI products of AWiFS of Rabi season 2014–2015 were used to study spectral-temporal behavior of pulse crops. Pulse crops accuracies of more than 95 % was observed in contiguous areas and 50–80.77 % in scattered regions. All India area estimate of Rabi pulses for the year 2014–2015 was 8963.327 ‘000 ha. © 2016 Indian Society of Remote Sensing

Katpatal Y.B.,Visvesvaraya National Institute of Technology | Patil S.A.,Maharashtra Remote Sensing Applications Center
Journal of Flood Risk Management | Year: 2010

Decisions related to mine management, especially pertaining to dumped material, might lead to several environmental hazards including flood risks in mining areas. Excavation and mine dumps are dominant factors of land use/land cover change in the Erai River watershed of Chandrapur district in Maharashtra, India. Identification and quantification of the extent of mining activities is important for assessing how this change in land use/land cover affects ecosystem components such as aesthetics, biodiversity and mitigation of floods in the Erai watershed. The present study utilizes satellite data of Landsat TM (1989), IRS LISS-3 (1999, 2007) and CARTOSAT (2007) to study the extent of surface mines and management of mine over burden (OB) dumps of Hindustan Lalpeth coal mines, Chandrapur, India. Image processing techniques in conjunction with GIS have been used to visualize the flood scenario, the reasons for floods and area under impact. The study indicates that the development of the mine OB dump within the river channel on both the sides has been responsible for the 2006 flood within the region. Further increase in OB dump heights may result in the risk of floods of greater potential during heavy rainfall in the future. The study presents a spatial analysis to assess the impacts of OB dumps in the recent flood in the area. The study also spatially represents the area under impact leading to a disastrous situation due to floods. The study also suggests the probable measures that must be adopted to avoid such situations in future in the mining areas. © 2010 The Authors. Journal Compilation © 2010 Blackwell Publishing Ltd.

Purohit S.S.,Gujarat University | Bothale V.M.,Maharashtra Remote Sensing Applications Center
2011 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011 | Year: 2011

Radio frequency identification (RFID) is one of the most promising and anticipated technologies in recent years. The paper proposes an automated system for waste collection and container monitoring system using RFID, GPS, GIS and GSM technologies. The proposed system consists of RFID tags mounted on containers, RFID readers mounted on trucks along with GPS for location tracking and GSM module for wireless transmission. The system provides real time monitoring of the waste collection system through a web based application available to administrators for decision making like reallocation of routes and containers etc. and management issues like observing performance of contractors, observing waste generation characteristics of particular area etc. and to the citizens providing transparency in civic administration. The model is proposed for Ahmedabad Municipal corporation. © 2011 IEEE.

Rajankar S.,Maharashtra Remote Sensing Applications Center | Gandhi A.,Visveswaraya National Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2012

In this paper an attempt has been made to design and develop a prototype of Web Based Server of Servers (WBSOS) which will automatically configure some network parameters for various servers such as DHCP, NETCONF, etc, connected in a network and maintain the data in a centralized manner in an RDBMS, through a browser based application. In WBSOS, various servers can be managed using a single browser based application. Testing is being done using two servers' viz. Dynamic host Configuration Protocol (DHCP) and Internet Engineering Task Force's (IETF), Network Configuration Protocol (NETCONF) implemented in the same browser based application. The system is being tested on windows platform. As NETCONF based Network Management System (NMS) is being implemented, constraints in existing SNMP based NMS have been removed. NETCONF is being implemented using Web Services Description Language (WSDL) that imports the definitions of XML types and elements from the base NETCONF schema. Using the conversion tools, basic JAVA APIs are generated. These APIs are modified to access the parameters from the graphical user interface (GUI) and generate a request message. This message is encapsulated with SOAP envelope and HTTP and then encrypted with SSL agent and finally sent to the agent. At the agent, after decryption by SOAP & HTTP, the message is parsed by the XML parser and sends to the operation processor to get back the operation commands such as get, edit, etc. The command is executed at the agent and reply is send back to the server. On receiving the reply, the manager saves the data in the centralized data store. Here, data is stored in My SQL database. The WBSOS will share the data of the network thus reducing the overall burden on the network. As the data is shared, collective and relative analysis can also be carried out. Use of NETCONF finds many benefits in this environment: from the reuse of existing standards, to ease of software development, to integration with deployed systems. Thus WBSOS will be capable of handling a wide range of devices in converged network system. © 2012 Springer-Verlag.

Srivastava A.K.,National Research Center for Citrus | Das S.N.,National Research Center for Citrus | Das S.N.,Maharashtra Remote Sensing Applications Center | Malhotra S.K.,National Research Center for Citrus | And 2 more authors.
Indian Journal of Agricultural Sciences | Year: 2014

Behaviour of crops and soils due to non-redressal of spatial variability in soil properties is not expressed uniformly within bigger orchard/field which has been the major triggering factor for not able to break yield barrier through conventional nutrient management strategy. Better response of site specific nutrient management (SSNM) over recommended doses of fertilizers (RDF) including those of farmers' usual fertilizer practices (FFP) signals a wake-up call to address the fertilizer requirements on the principles of SSNM, if the full potential productivity of perennial crops has to be realized and sustain on any given soil type. The SSNM also warrants to tailor the fertilizer application on the basis of spatial variation in soil fertility and tree canopy size within an orchard/field through variable rate fertilizer application to minimize the gap between actual and potential productivity of crops. Application of geospatial tools like GPS and GIS coupled with DRISbased nutrient diagnostics has substantially aided in developing rationale of fertilizer use using SSNM concept in crops like citrus, avocado, coconut, olive etc. Which could well be expanded to other perennial crops.

Srinivasa Rao S.,Indian National Remote Sensing Centre | Dinesh kumar S.,Indian National Remote Sensing Centre | Das S.N.,Regional Remote Sensing Center Central | Nagaraju M.S.S.,National Bureau of Soil Survey and Land Use Planning | And 6 more authors.
Journal of the Indian Society of Remote Sensing | Year: 2013

This paper discusses a new methodology to estimate soil moisture in agriculture region using SAR data with the use of HH and HV polarization. In this study the semi empirical model derived by Dubois et al. (IEEE Transactions on Geoscience and Remote Sensing, 33(4), 915-926, 1995) was modified to work using σ HH instead of two like polarization equations σHH, σVV so that soil moisture can be obtained for the larger area frequently. The field derived roughness correlated with the cross polarization ratio (HV/HH) to replace the one unknown parameter 's' in the Dubois model and hence the dielectric constant was derived by inverting the Dubois model equation (HH). The Topp et al. (Water Resources Research, 16(3), 574-582, 1980) model was used to retrieve soil moisture using the dielectric constant. The mid incidence angle was used to overcome the incident angle effect and it worked successfully to the larger extent. The result is realistic overall, especially where surface has less variation in the roughness and vegetation since the penetration capability of C-band is limited when plant grows hence model valid in the initial period of cultivation. The derived model is having good scope for soil moisture monitoring with the present availability of Indian RISAT data. © 2013 Indian Society of Remote Sensing.

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