Ranganath Navalgund - Academia.edu (original) (raw)

Papers by Ranganath Navalgund

Journal of the Physical Society of Japan, Oct 1, 1975

ABSTRACT

Journal of the Indian Society of Remote Sensing, 1996

International Journal of Remote Sensing, 2001

... Remote sensing and GIS techniques can be used for generating development plans for thewatersh... more ... Remote sensing and GIS techniques can be used for generating development plans for thewatershed ... was assessed by computing runoff under alternative land use and management practices. ... runoff yield decreased by 42.88% of the pre-conservation value for the watershed. ...

IEEE Geoscience and Remote Sensing Letters, 2012

This letter presents the results from the intersatellite calibration of Kalpana observations usin... more This letter presents the results from the intersatellite calibration of Kalpana observations using hyperspectral observations from the Atmospheric Infrared Sounder (AIRS). The intercalibration statistics have been generated for January, April, July, and October in 2009. Kalpana-observed brightness temperatures are found to be close to those of the AIRS observations with standard deviations of about 0.4 K during daytime and 0.3 K during nighttime. However, there are a large cold bias of 1.6 K in Kalpana observations during nighttime and a relatively small cold bias of 0.6 K during daytime. This calibration problem during nighttime is similar to that seen in the Geostationary Operational Environmental Satellites (GOES) infrared channels.

IEEE Transactions on Geoscience and Remote Sensing, 2009

The sensitivity of synthetic aperture radar (SAR) backscatter to soil moisture has been adequatel... more The sensitivity of synthetic aperture radar (SAR) backscatter to soil moisture has been adequately established. However, monitoring of soil moisture over large agricultural areas is still difficult because SAR backscatter is also sensitive to other target properties like surface roughness, crop cover, and soil texture (soil type), along with its strong sensitivity to soil moisture. Hence, to develop a methodology for large-area soil moisture estimation using SAR, it is necessary to incorporate the effects of surface roughness, crop cover, and soil texture in the soil moisture retrieval model. In this paper, a methodology for soil moisture estimation over a large area is developed using a pair of low-and high-incidence-angle RADARSAT-1 SAR data over parts of Agra, Mathura, and Bharatpur districts, India, during March 1999. The methodology requires acquisition of synthetic aperture radar data at low and high incidence angles, such that the soil moisture changes are negligible between the two acquisitions. In order to demonstrate the applicability of the developed methodology, the same was validated over a different area (parts of Saharanpur and Haridwar districts, India) during March 2005. Both test sites provided the variety of agricultural heterogeneity required for development and validation of the methodology for large-area soil moisture estimation. The proposed methodology offers an approach to incorporate the effects of surface roughness, crop cover, and soil texture in the soil moisture retrieval model from the space platform, without making any assumptions on the distributions of these parameters or without knowing the actual values of these parameters on ground.

International Journal of Remote Sensing, 1995

The yield of grain Sorghum cultivated in dry-land regions in India fluctuates widely in relation ... more The yield of grain Sorghum cultivated in dry-land regions in India fluctuates widely in relation to its critical growth phases depending on the weather conditions. Vegetation indices derived form remote sensing data acquired at the time of maximum vegetative growth are indicative of crop growth and vigour and consequent potential grain yields. In this paper we investigate rabi (winter) sorghum yields using Indian Remote Sensing Satellite's Linear Imaging and Self Scanning-I (IRS LISS-I) sensor data and monthly rainfall distribution data of the recent four seasons for the 37 tehsils (sub-units of districts) that constitute the three principal sorghum producing districts of the central Maharashtra state (India). The multiple linear regression yield models with both the spectral and spectro-meteorological parameters have been developed for tehsil, as well as the district yields, by identifying critical parameters with model estimation errors of about 22 per cent on tehsil yields and about 5 per cent on district yields. The yields are found to be correlated significantly with monsoon rainfall about 1 to 2 months before sowing. This study brings out the problems of yield modelling of the semi-arid tropical crop in a small region using remote sensing data only, and shows that the vegetation indices deduced from remote sensing data are found to be good indicators of the yield on large spatial scales, as the effects of varying rainfall on yields largely cancel out.

IAF abstracts, 34th …, 2002

Space technology has introduced new dimensions into the study and understanding of Earth's p... more Space technology has introduced new dimensions into the study and understanding of Earth's processes and in Natural Disasters result from the dynamics of the outer parts of the earth's crust - resulting in cyclones, floods, earthquakes, landslides, volcanoes and many other natural ...

Journal of Non-Crystalline Solids, 1992

Electron paramagnetic resonance spectroscopy of Mn 2+ doped into zirconium fluoride-based glass h... more Electron paramagnetic resonance spectroscopy of Mn 2+ doped into zirconium fluoride-based glass has revealed information about the site symmetry of the Mn 2+ ion and the nature of its bonding in the glass. It appears that the site is quite well defined, and is probably substitutional. The bonding of the Mn 2+ in the lattice is ionic in nature.

Resonance, 2001

 the simplest and oldest of sensors used for remote sensing of the Earth's surface.  framing sy... more  the simplest and oldest of sensors used for remote sensing of the Earth's surface.  framing systems which acquire a near-instantaneous "snapshot" of an area (A), of the surface.  passive optical sensors that use a lens (B) to form an image at the focal plane (C) where an image is sharply defined. • Photographic films are sensitive to light 0.3 μm ~ 0.9 μm in wavelength covering the ultraviolet(UV), visible, and nearinfrared(NIR). • Panchromatic films are sensitive to the UV and the visible portions of the spectrum.  produces black and white images and is the most common type of film used for aerial photography. • UV photography also uses panchromatic film, but a filter is used to block the visible energy from reaching the film.  is not widely used. • Black and white infrared photography uses film sensitive to 0.3 to 0.9 μm wavelength range and is useful for detecting differences in vegetation cover, due to its sensitivity to IR reflectance. 2.7 Cameras and Aerial Photography Color & false color (or color infrared, CIR) photography • Normal color photograph : sensitive to blue, green, and red light-the same as our eyes. These photos appear to us the same way that our eyes see the environment (i.e. trees appear green, etc.). • False color (or color infrared, CIR) photograph : sensitive to green, red, and the photographic portion of near-infrared radiation, which are processed to appear as blue, green, and red, respectively. In a false color photograph, targets with high near-infrared reflectance appear red, those with a high red reflectance appear green, and those with a high green reflectance appear blue, thus giving us a "false" presentation of the targets relative to the color we normally perceive them to be.

IEEE Transactions on Geoscience and Remote Sensing, 2008

An empirical analysis of the effect of surface angular anisotropy on classification accuracy is p... more An empirical analysis of the effect of surface angular anisotropy on classification accuracy is presented in this paper using seven-date Multiangle Imaging SpectroRadiometer (MISR) data acquired during the period of October 2005-March 2006. The effect of surface anisotropy on classification accuracy was assessed for those classes that show spectral mixing at nadir for three dates, viz., December 18, January 3, and January 19 at red and near-infrared (NIR) wavelengths, using three different methods: 1) using two off-nadir sensor angles (70.5 • and 60 •); 2) using the second component of principal component analysis (PC2); and 3) using the second component of the Rahman-Pinty-Verstraete model (k); the latter two methods represent the directional components of MISR-observed reflectance. The parallelepiped classifier with a three-sigma threshold was used for all classifications, and the classification accuracy was assessed using overall accuracy and the kappa coefficient. In the red band, it was observed that classification using off-nadir sensor angles improves the classification accuracy by about 10%-50%, depending on the vegetation stage, with respect to nadir. A consistent significant increase in classification accuracy for the three dates (December 18, January 3, and January 19) was found using the directional component (PC2) compared with the spectral component (PC1) in the red band, whereas for the NIR band, the classification accuracies were consistently lower compared with that of PC1. Classification using the three different anisotropy measures previously defined as well as nadir, in combination with multispectral (green, red, and NIR) information, resulted in high classification accuracies for all the three dates (December 18, January 3, and January 19). This implies that the multispectral component of reflectance is by far the most important determining factor influencing the classification accuracy.

Current Science, 2017

Archaeology has traditionally focused on studying historic or prehistoric people and their cultur... more Archaeology has traditionally focused on studying historic or prehistoric people and their cultures by analysis of their artefacts, inscriptions, monuments and other such material remains, especially those that have been documented from excavations. This focus is somewhat narrow, because it excludes many new methods that have emerged in the last few decades (described in detail by Prabhakar and Korisettar in this special section (page 1873)). One such novel method is to study large imprints on the landscape caused by human activity. These telltale features include soil marks, crop marks, drainage patterns, field boundaries and a host of man-made structures, whose study can provide additional cultural insights. In some cases, these features are difficult to detect by the naked eye at ground level, but are detectable by remote sensing techniques from aerial/space-based platforms in a non-destructive manner. For these reasons, it is now well recognized that examining archaeological landscapes using remote sensing can complement traditional investigations. An analysis of remote sensing data can play an important role in (1) understanding spatial relationships between cultural materials and activities, (2) formulating archaeological sampling schemes, (3) measuring distances and spatial distributions of structures and monuments, and (4) evolving schemes for their conservation.

Journal of the Indian Society of Remote Sensing

Antrix Corporation Limited (ANTRIX) celebrated its Silver Jubilee function on September 15, 2017 ... more Antrix Corporation Limited (ANTRIX) celebrated its Silver Jubilee function on September 15, 2017 at Hotel Mövenpick, Bengaluru. As part of the event, a panel discussion on Remote Sensing was held during 1615–1730 Hrs. The Topic chosen for the panel discussion was ‘‘Remote Sensing Business Opportunities in the Era of Free and Open Data Access’’. Dr. Ranganath R. Navalgund, former Director of the Space Applications Centre (SAC)/ISRO and the National Remote Sensing Centre (NRSC)/ISRO, currently Honorary Distinguished Professor at ISRO, chaired and moderated the session. Eminent speakers from diversified areas were invited as panelists. The panelists were:

Adoption of eco-friendly sustainable development strategies has become an imperative necessity to... more Adoption of eco-friendly sustainable development strategies has become an imperative necessity to achieve economic and food security while maintaining environmental harmony. The Earth Observation (EO) satellites playa significant role in determining, enhancing and monitoring the overall carrying capacity of the earth. The repetitive satellite remote sensing over various spatial and temporal scales offer the most economic and timely accessibility of environmental parameters and study of impact of development processes. Realizing the vast potential ofdata from EO satellites, India has established a strong applications programme to take remote sensing technology to grassroot level, in support of the locale-specific development. A number of joint experiment projects have been taken up with different user departments to demonstrate the potential ofremote sensing for resource monitoring and management in different fields. An important project namely, the Integrated Mission for Sustainable Development (IMSD) taken up in India for 174 districts covering 84 M ha aimed at generation of locale specific action plans for suggesting alternate land use plans, soil conservation, surface water harvesting and ground water exploitation! recharge for sustainable development of land and water resources. In many of the watersheds, plans are being implemented by the government as well as by the voluntary agencies. The remote sensing programme is also backed up with adequate and appropriate infrastructure development and capacity building in terms of trained manpower and technology base.

With an aim to develop yield models in term of spectral and meteomlogical parametere for riee cro... more With an aim to develop yield models in term of spectral and meteomlogical parametere for riee crop, field uperimenta wee conducted h tbe wet s e a m s of 1984 and 1985 at the Meh Rice Research Statim, Nawagam, Gnjarat. Fertillser, wietal and dates of planting treatments were included a0 M to hdoce variability in yield and to ardve at a model that can be osed to predict ykld under a wide range of growing caditiom. Spectral data like Wlance values in dBerent wavelength bands namely, visible and near infrared (NIR) and biometric data like leaf area index, wet blomase dry biomass were collected at weekly intervals over these plots. Regresrioa analysis WM done to study the rela-exirting between specW pod biometric parametere. A lhear &tion betwee9 kaf area iadex and NIR/red radiance ratio WM obseroed. L i r reiations rere also found to exist between spectral parameters mawred a d gnh yield. A W regression rekibkoship incorporatbg tBe rPdisa~e rPti0 a a wrltUloear regression r e l a t i d p i m p o r n t h htegrated radiance ratio and accumulated temperature d m days were tried to estimate yield. The relafioashipa developed for 19$4 were tested for the year 1985. The relrhsbip in-thg both the a p e d d a d meberdaglcal vzuiabk8 fared ktm. Aay crop production forecasting system has two vital compo~tents, namely crop acreage and yield. Crop acreage estimation using remotely sensed data has been well demonstrated in the country and elsewhere (MacDonald and Hall 1980, Dadhwal and Parihar 1985, Kalubarme and Mahey 1987). However, use of remotely sensed data for yield prediction, in advance of harvest has beep rather limited. Field experiments conducted on rice so far bave shown that the ratio of radiance of the crop in

... Remote sensing for rural development. Navalgund, RR ; Tamilarasan, V. (1998) Remote sensing f... more ... Remote sensing for rural development. Navalgund, RR ; Tamilarasan, V. (1998) Remote sensing for rural development Journal of Rural Development, 17 (3). pp. 421-441. ISSN 0970-3357. [img] Preview. PDF - Publisher Version 1094Kb. ...

Effects of various sensor parameters sucb as spatial resolution, sensor radiometry and temporal r... more Effects of various sensor parameters sucb as spatial resolution, sensor radiometry and temporal resolution on crop monitoring on resional scale is reported. Results were interpreted for selection of optimal sensor parameters for Advance Wide field sensor (WiFS) sIated for regional crop discrimination and high repetivity monitoring. Analysis was carried out using sensors on board IRS platforms (LISS-I, LISS-II, LIS-III. WiFS, MOS-B) and NOAA-AVHRR wbich covers spatial resolution from 23 meter to 1 km, Radiometry from 7 bit to 16 ...

physica status solidi (b), 1975

Proceedings of SPIE, 2006