SOHAN LAL, RITA RANI, SAROJ, R. S. HOODA1 AND NARSI R. BISHNOI*
Department of Environmental Science & Engineering, Guru Jambheshwar University of Science & Technology,
Hisar-125 001 (Haryana), India
*(e-mail : email@example.com; Mobile : 9354312123)
(Received : August 15, 2019; Accepted : September 12, 2019)
Remote sensing plays an important and trustable role. For this, the present study was used to estimate the spatial and temporal magnitude of wheat yield in district Ambala. The present study revealed that agricultural area in the district has been expended up to 6.10% from 2008 (82,000 ha) to 2017 (87,000 ha). The preciseness of counting desired crop pixels from the satellite imagery (LISS-III) mark up to 96.61% (-3.39%) in case of 2008 data, whereas it was up to -95.61% (- 4.39%) for 2017 data. The range of NDVI values (crop vigorousness index) spread in the satellite imagery from 0.315 (minimum) to 0.535 (maximum) in case of 2008 data and 0.625 (min.) to 0.765 (max.) for 2017 data. The descriptive statistical analysis results of mean (average distribution of pixels), mode (commonly distributed pixels) and Q3 (range of 75% pixels) were 0.461, 0.535 and 0.495 for 2008, and 0.707, 0.675 and 0.735 for 2017, respectively. Among all six blocks, Shahzadpur showed maximum change in wheat yield in these two study periods.
Key words : Remote sensing, LISS III, Ambala, NDVI, pixel