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Jena B.,EEZ Group | Sahu S.,Berhampur University | Rao M.V.,National Remote Sensing Agency | Sahu B.K.,Berhampur University
International Journal of Remote Sensing | Year: 2011

Indian Remote Sensing Satellite (IRS-P4) multi-frequency scanning microwave radiometer (MSMR) provides geophysical parameters like sea surface temperature (SST), sea surface wind speed (SSWS), integrated water vapour (IWV) and cloud liquid water (CLW). The retrieval procedure of these parameters given by Gohil et al. (2000, Geophysical parameter retrieval over global oceans from IRS-P4 (MSMR). In Preprints, Fifth Pacific Ocean Remote Sensing Conference, 5-8 December 2000, Goa, India (Goa: National Institute of Oceanography), pp. 207-211) was summarized by Sharma et al. (2002, Identification of large scale atmospheric and oceanic features from IRS-P4 multifrequency scanning microwave radiometer: preliminary results. Journal of Atmospheric and Oceanic Technology, 19, pp. 1127-1134) and Jena (2007, Studies on the retrieval, validation and applications of geophysical parameters from IRS-P4 (MSMR) data. PhD thesis, Berhampur University, Orissa). Demonstration of self-consistency of these parameters has primary scientific importance. This article deals with the validation of MSMR geophysical parameters such as SST and SSWS with in situ observations (buoy data) over the north Indian Ocean during 2000. Result shows that the MSMR-derived SST and SSWS can be utilized for several applications because of their reasonable accuracy and coverage even under cloudy condition. © 2011 Taylor & Francis.


Reddy K.N.,Laila Impex R and nter | Trimurthulu G.,Laila Impex R and nter | Sudhakar Reddy C.,National Remote Sensing Agency
Indian Journal of Traditional Knowledge | Year: 2010

The paper enumerates the traditional uses of 43 plant species belonging to 43 genera representing 30 families, which are used by the village communities of Krishna district for the treatment of different diseases and disorders. Half of the remedies are taken orally, accounting for 45% of the medicinal use. Most of the remedies reported are from trees and climber species. The most widely sought after plant parts in the preparation of medicines in the study area are the leaves and stem bark. Huge numbers of medicinal plant species are available in the study area for the treatment of skin diseases (eruptions, eczema, leucoderma, sores, cracks, cuts, boils, wounds, external tumors, etc.), body pain and swellings. Hence, a proper documentation of useful plants with their present status and local traditional knowledge as well as practices is urgently needed.


Dhal N.K.,CSIR - Institute of Minerals And Materials Technology | Pattanaik C.,SACON | Sudhakar Reddy C.,National Remote Sensing Agency
Indian Journal of Traditional Knowledge | Year: 2010

Ethnobotanical studies were conducted among various tribes in different tribal districts of Orissa. It has been found that 6 plant species are used by the tribal people for preparation of Bakhar, which is generally used for the fermentation of rice. They were further used to prepare the drink, Handia. The uses of these 6 plant species are recorded for the first time.


Prasad P.R.C.,International Institute of Information Technology, Hyderabad | Nagabhatla N.,Worldfish Center | Reddy C.S.,National Remote Sensing Agency | Gupta S.,Forest Research Institute | And 3 more authors.
Environmental Monitoring and Assessment | Year: 2010

The present study outlines an approach to classify forest density and to estimate canopy closure of the forest of the Andaman and Nicobar archipelago. The vector layers generated for the study area using satellite data was validated with the field knowledge of the surveyed ground control points. The methodology adopted in this present analysis is three-tiered. First, the density stratification into five zones using visual interpretation for the complete archipelago. In the second step, we identified two island groups from the Andaman to investigate and compare the forest strata density. The third and final step involved more of a localised phytosociological module that focused on the North Andaman Islands. The results based on the analysis of the high-resolution satellite data show that more than 75% of the mangroves are under high- to very high-density canopy class. The framework developed would serve as a significant measure to forest health and evaluate management concerns whilst addressing issues such as gap identification, conservation prioritisation and disaster management-principally to the post-tsunami assessment and analysis. © 2009 Springer Science+Business Media B.V.


Kandrika S.,National Remote Sensing Agency | Ravisankar T.,National Remote Sensing Agency
International Journal of Image and Data Fusion | Year: 2011

Land use information is one of the most sought inputs for various resource and environmental management studies as well as climate models. In this study, an attempt was made to obtain land cover information from temporal data set of Advance Wide Field Sensor aboard Indian Remote Sensing satellite IRS-P6 using data mining classification technique. This study mainly focuses on the utility of visually interpreted thematic maps as an additional input for improving classification accuracies. The temporal data sets were co-registered to sub-pixel accuracy and were atmospherically corrected using modified dark pixel subtraction method. The visual thematic maps (wastelands and forest cover maps) were also co-registered to satellite data to a near pixel accuracy. Digital values were extracted for various classes and rule sets were generated using See-5 data mining software. These rule sets were ported into ERDAS Imagine Knowledge Engineer and the temporal data sets were classified. The results indicate that temporal satellite data at monthly intervals have a good potential to capture the land cover information including temporal dynamics of crop cover in agricultural lands. Addition of legacy maps obtained through monoscopic visual interpretation has helped to improve classification accuracies significantly. However, there exists a co-registration issue between visual maps as well as satellite data that have influenced the classification accuracies. The decision tree classification algorithm (See-5) used in this study is able to exploit the temporal variation in target spectral properties as well as thematic information from legacy maps satisfactorily. There has been a substantial improvement in various categories of forests as well as wastelands due to addition of visual maps. This has further reduced the misclassification of other vegetation categories, thereby improving the overall classification accuracy. Overall, kappa statistic of 0.885 was achieved with multitemporal satellite data, which was further improved to 0.932 with the addition of visual maps. © 2011 Taylor & Francis.


Badarinath K.V.S.,National Remote Sensing Agency | Sharma A.R.,National Remote Sensing Agency | Kharol S.K.,National Remote Sensing Agency
International Journal of Remote Sensing | Year: 2011

The present study describes the night-time active forest fire detection capabilities of Defense Meteorological Satellite Program - Operational Linescan System (DMSP-OLS) satellite data over the forest region of Kerala State, India in 2004. Kerala State had a high incidence of forest fires during 2004 because of the extended dry season, with the unusual absence of intermittent rainfall from January to April. DMSP-OLS data were processed to detect active night-time forest fires over Kerala State and validated with ground data and fine-resolution Indian Remote Sensing (IRS)-P6 Advanced Wide Field Sensor (AWiFS) satellite imagery. DMSP-OLS-derived night-time fire products were compared with synchronous Moderate Resolution Imaging Spectroradiometer (MODIS)-derived daytime fire products to check for the spatial agreement and continuity of fires. To estimate the burnt areas, different atmospheric correction algorithms were applied to the IRS-P6 AWiFS dataset; these included the cosine approximation model (COST), ATCOR2 in ERDAS Imagine and the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) code. Atmospheric corrections to the satellite data indicated significant improvement in burnt area estimates. The results of the study suggest a good correlation between AWiFS data-derived burnt areas, DMSP-OLS-derived fire counts and MODIS-derived fire products. The fire occurrences derived from DMSP-OLS and MODIS data were validated with field records on fire occurrences over the study area. © 2011 Taylor & Francis.

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