Volume XL-8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1383-1387, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1383-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1383-1387, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1383-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  23 Dec 2014

23 Dec 2014

Modis data acquisition and utilization for forest fire management in india

A.N. Satyanarayana1, B. Chandrashekara Rao2, D. Lalitha3, and B. Lakshmi4 A.N. Satyanarayana et al.
  • 1Manager, MODIS Data System, India
  • 2Group Head, Servo Drive and Mechanical Systems, India
  • 3Scientist ’SE’, India
  • 4Dy. Director, SDAPSA, India

Keywords: MODIS: Moderate Resolution Imaging Spectroradiometer, MBPS: Mega Bytes per second, DAQLB: Direct Archival and quick look browse, PSK: Phase Shift key, IF: Intermediate Frequency, RAM: Random Access Memory

Abstract. The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard Terra & Aqua Spacecrafts Scans the earth in 36 spectral bands & covers the entire earth in two days. MODIS data has proved to be very useful for ocean & land studies with resolution ranging from 250 m to 1000 meters. The Data Reception system at Shadnagar (Refer to the Block diagram Fig.1), receives the data transmitted in X-band on 8160 MHz carrier SQPSK modulated with a data rate of 15 MBPS from the Aqua satellite. The down converted IF signal is fed to the demodulator & bit-synchronizer unit. The data and clock output signals of bitsynchronizer unit are given to a PC based DAQLB system where real-time telemetry processing is carried out and data is recorded onto hard disk in real time. The effectiveness of the system in supporting the forest fire management during the 2011, 12, 13 & 14 is also presented in the paper. Near real-time active fire monitoring, interactive fire visualization, fire database and statistical analysis functions also presented. Preliminary results of the upgrading satellite receiving system and in expanding the utilization of satellite data for multi-disciplinary resources management will also be presented and discussed.