Analysis of land surface temperature on pastureland areas with different management using Landsat 8

Author(s)

Figueiredo, Gleyce K. D. A. ; Santos, Roberto B. ; Oliveira, Julianne C. ; Lamparelli, Rubens A. C. ; Neale, CMU ; Maltese, A

• Document type: Journal article
• Source: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXI; v. 11149, p. 7-pg., 2019-01-01.

Abstract

The aim of this study was to analyze Land Surface Temperature (LST) on pasture areas with different production systems and management based on survey with farmers and remote sensing data for four development cycles (20132017). The study was carried out on western Sao Paulo state, Brazil, which is known as its traditional pastureland areas. We analyzed different type of production system such as extensive, semi-extensive and intensive pasture. The band 10 from Landsat 8 Thermal Infrared Sensor (TIRS) was used to retrieve the LST, and to verify the inter-seasonal productivity variation in function of management and temperature we calculated Net Primary Production - NPP. By the survey and visual analysis, we could classify the pasture areas as degraded and non-degraded area. For this classification, only pasture in degradation or maintenance phase was identified. Degraded pasture in the first or second cycle was recovered after proper management. However, the inverse effect was also verified, areas in maintenance became degraded. It occurred not only because of the management practices but also because of extreme meteorological conditions. For those considered degraded pasture we verified an average temperature of 27 degrees C - 29 degrees C, and areas with the proper management the average temperature where 24 degrees C - 26 degrees C. On farms which were verified lost of productivity in function of degradation the temperature raised around 2 degrees C. For this study, the use of remote sensing data to retrieve LST data shows to be an additional tool for monitoring pasture areas in function of management and productivity. (AU)

• FAPESP's process: 14/26767-9 - Global Sustainable Bioenergy Initiative: geospatial & environmental analysis of pastureland intensification for bioenergy
• Grantee: John Joseph Sheehan
• Support Opportunities: Research Projects - SPEC Program