Kc and lai estimations using optical and sar remote sensing imagery for vineyards plots

Ofer Beeri, Yishai Netzer, Sarel Munitz, Danielle Ferman Mintz, Ran Pelta, Tal Shilo, Alon Horesh, Shay Mey‐tal

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Daily or weekly irrigation monitoring conducted per sub‐field or management zone is an important factor in vine irrigation decision‐making. The objective is to determine the crop coefficient (Kc) and the leaf area index (LAI). Since the 1990s, optic satellite imagery has been utilized for this purpose, yet cloud‐cover, as well as the desire to increase the temporal resolution, raise the need to integrate more imagery sources. The Sentinel‐1 (a C‐band synthetic aperture radar—SAR) can solve both issues, but its accuracy for LAI and Kc mapping needs to be determined. The goals of this study were as follows: (1) to test different methods for integrating SAR and optic sensors for increasing temporal resolution and creating seamless time‐series of LAI and Kc estimations; and (2) to evaluate the ability of Sentinel‐1 to estimate LAI and Kc in comparison to Sentinel‐2 and Landsat‐8. LAI values were collected at two vineyards, over three (north plot) and four (south plot) growing seasons. These values were converted to Kc, and both parameters were tested against optic and SAR indices. The results present the two Sentinel‐1 indices that achieved the best accuracy in estimating the crop parameters and the best method for fusing the optic and the SAR data. Utilizing these achievements, the accuracy of the Kc and LAI estimations from Sentinel‐1 were slightly better than the Sentinel‐2′s and the Landsat‐8′s accuracy. The integration of all three sensors into one seamless time‐series not only increases the temporal resolution but also improves the overall accuracy.

Original languageEnglish
Article number3478
Pages (from-to)1-15
Number of pages15
JournalRemote Sensing
Volume12
Issue number21
DOIs
StatePublished - 1 Nov 2020

Keywords

  • Crop coefficient
  • Irrigation scheduling
  • Landsat‐8
  • Leaf area index
  • Sentinel‐1
  • Sentinel‐2

Fingerprint

Dive into the research topics of 'Kc and lai estimations using optical and sar remote sensing imagery for vineyards plots'. Together they form a unique fingerprint.

Cite this