Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Soil moisture retrieval by integrating TASI-600 airborne thermal data, WorldView 2 satellite data and field measurements: Petacciato case study

Academic Article
Publication Date:
2019
abstract:
Soil moisture (SM) plays a fundamental role in the terrestrial water cycle and in agriculture, with key applications such as the monitoring of crop growing and hydrogeological management. In this study, a calibration procedure was applied to estimate SM based on the integration of in situ and airborne thermal remote sensing data. To this aim, on April 2018, two airborne campaigns were carried out with the TASI-600 multispectral thermal sensor on the Petacciato (Molise, Italy) area. Simultaneously, soil samples were collected in different agricultural fields of the study area to determine their moisture content and the granulometric composition. A WorldView 2 high-resolution visible-near infrared (VNIR) multispectral satellite image was acquired to calculate the albedo of the study area to be used together with the TASI images for the estimation of the apparent thermal inertia (ATI). Results show a good correlation (R 2 = 0.62) between the estimated ATI and the SM of the soil samples measured in the laboratory. The proposed methodology has allowed us to obtain a SM map for bare and scarcely vegetated soils in a wide agricultural area in Italy which concerns cyclical hydrogeological instability phenomena.
Iris type:
01.01 Articolo in rivista
Keywords:
Data integration; Soil moisture; TASI-600; Thermal inertia; Thermal multispectral data
List of contributors:
Lettino, Antonio; Palombo, Angelo; Pascucci, Simone; Loperte, Antonio; Santini, Federico
Authors of the University:
LETTINO ANTONIO
LOPERTE ANTONIO
PALOMBO ANGELO
PASCUCCI SIMONE
SANTINI FEDERICO
Handle:
https://iris.cnr.it/handle/20.500.14243/391092
Published in:
SENSORS (BASEL)
Journal
  • Overview

Overview

URL

https://www.mdpi.com/1424-8220/19/7/1515
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)