Refine your search
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Krishna Murthy, Y. V. N.
- The Future of Cartography Satellites Data Acquisition and its Data Ingest Systems
Abstract Views :152 |
PDF Views:4
Authors
Affiliations
1 Antenna System, National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
2 Satellite Tracking Systems, National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
3 National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
4 Satellite Data Reception & Ingest Systems Area, National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
1 Antenna System, National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
2 Satellite Tracking Systems, National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
3 National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
4 Satellite Data Reception & Ingest Systems Area, National Remote Sensing Centre, Indian Space Research Centre, Department of Space, Govt. of India, Hyderabad, Telangana, IN
Source
International Journal of Research in Signal Processing, Computing & Communication System Design, Vol 3, No 1 (2017), Pagination: 1-5Abstract
Remote sensing data provides much essential and critical information for monitoring many applications such as image fusion, change detection, and land cover classification. Remote sensing is an important technique to obtain information relating to the Earth's resources and environment. What popularized satellite data are the easily accessed online mapping applications like BHUVAN. From being simply able to find "where is my house" these applications have helped the GIS community in project planning, monitoring disasters and natural calamities, and guiding civil defence people. ISRO's BHUVAN (www.bhuvan.nrsc.gov.in) is a well known national geo-portal, which is being widely, used by the Government, public, NGOs and Academia. Bhuvan is developed with a clear focus of addressing Indian requirements of satellite Images and theme-oriented services to enable planning, monitoring and evaluation of stakeholder's activities in governance and development. All these data is taken from the Remote sensing satellites of Cartography application series Satellites, which are being tracked and data ingested disseminated from IMGEOS, NRSC Ground Station. The acquisition challenges and data ingest process will be discussed in this paper.Keywords
Antenna Systems, BHUVAN: Is a Well known National Geo-Portal, Integrated Multi Mission Ground Station for Earth Observation Satellites (IMGEOS), RF Systems, SERVO, Tracking Systems.
- Estimating Net Primary Productivity of Croplands in Indo-Gangetic Plains Using GOME-2 Sun-Induced Fluorescence and MODIS NDVI
Abstract Views :218 |
PDF Views:83
Authors
N. R. Patel
1,
Hitendra Padalia
1,
R. Devadas
2,
A. Huete
2,
A. Senthil Kumar
1,
Y. V. N. Krishna Murthy
3
Affiliations
1 Indian Institute of Remote Sensing, Dehradun 248 001, IN
2 University of Technology Sydney, Sydney, AU
3 National Remote Sensing Centre, Hyderabad 500 072, IN
1 Indian Institute of Remote Sensing, Dehradun 248 001, IN
2 University of Technology Sydney, Sydney, AU
3 National Remote Sensing Centre, Hyderabad 500 072, IN
Source
Current Science, Vol 114, No 06 (2018), Pagination: 1333-1337Abstract
Recently evolved satellite-based sun-induced fluorescence (SIF) spectroscopy is considered as a direct measure of photosynthetic activity of vegetation. We have used monthly averages of satellite-based SIF retrievals for three agricultural year cycles, i.e. May to April for each of the three years, viz. 2007–08, 2008–09 and 2009–10 to assess comparative performance of SIF and normalized difference vegetation index (NDVI) for predicting net primary productivity (NPP) over the Indo-Gangetic Plains, India. Results show that SIF values for C4 crop-dominated districts were higher than C3 crop-dominated districts during summer and low during winter for all three years. SIF explained more or less above 70% of variance in NPP. The variance explained by integrated NDVI ranged from 60% to 67%. Thus the present study has shown the potential of SIF data for improved modelling of agricultural productivity at a regional scale.Keywords
Crop Lands, Net Primary Productivity, Photosynthetic Activity, Sun-Induced Fluorescence.Full Text
References
- Smorenburg, K. et al., Remote sensing of solar induced fluorescence of vegetation. SPIE Proc.: Remote Sensing Agric., Ecosyst. Hydrol. III, 2000, p. 4542.
- Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R. and Moreno, J., Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications. Remote Sensing Environ., 2009, 113, 2037–2051.
- Porcar-Castell, A. et al., Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. J. Exp. Bot., 2014, 65, 4065–4095.
- Frankenberg, C. et al., New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett., 2011, 38, L03801; doi:10.1029/2010GL045896.
- Guanter, L. et al., Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sensing Environ., 2012, 121, 236–251.
- Joiner, J., Yoshida, Y., Vasilkov, A. P., Yoshida, Y., Corp, L. A. and Middleton, E. M., First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences, 2011, 8, 637–651.
- Joiner, J. et al., Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmos. Meas. Tech., 2013, 6, 2803–2823.
- Guanter, L. et al., Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl. Acad. Sci. USA, 2014, 111(14), E1327–E1333.
- Pal, D. K., Bhattacharyya, T., Srivastava, P., Chandran, P. and Ray, S. K., Soils of the Indo-Gangetic Plains: their historical perspective and management. Curr. Sci., 2009, 96(9), 1193–1202.
- Nayak, R. K., Patel, N. R. and Dadhwal, V. K., Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environ. Monit. Assess., 2010, 1, 195–213.