Prediction of agricultural drought using Landsat-8 Land Surface Temperature and Normalized Difference Vegetation Index in West Candaba, Pampanga, Philippines

Authors

  • Florenz Pacion Pagulayan Department of Physical Sciences, Polytechnic University of the Philippines
  • Jem Marie Espiritu Alabado Department of Physical Sciences, Polytechnic University of the Philippines
  • Raymond C. Ordinario Philippine Atmospheric, Geophysical and Astronomical Services Administration

Abstract

Normalized Difference Vegetation Index (NDVI) acts as the indicator of vegetation degree on the Land Surface Temperature (LST) distribution which have a good negative correlation that is valuable for climate studies. This study aims to evaluate Landsat-8 TIRS using in-situ observation to monitor of agricultural activities over West Candaba in Pampanga during the months of March and April. Further, this study aims to provide preliminary prediction of drought over the area of study. The results show the relationship between real-time ground infrared thermometer and Landsat-8 TIRS had good agreement that indicates consistency between ground and satellite data. In evaluating NDVI and LST for 5-year period in all March and April, the outcome shows that a warming land surface will give lesser vegetation. It can also be concluded that NDVI is capable of providing forecast for drought using a long term period of data that could aid timely decision in response to drought.

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Published

2020-10-19

How to Cite

[1]
FP Pagulayan, JME Alabado, and RC Ordinario, Prediction of agricultural drought using Landsat-8 Land Surface Temperature and Normalized Difference Vegetation Index in West Candaba, Pampanga, Philippines, Proceedings of the Samahang Pisika ng Pilipinas 38, SPP-2020-2D-04 (2020). URL: https://proceedings.spp-online.org/article/view/SPP-2020-2D-04.

Issue

Section

Environmental Physics (Short Presentations)