Next Article in Journal
Correction: Assessment of the High Resolution SAR Mode of the RADARSAT Constellation Mission for First Year Ice and Multiyear Ice Characterization. Remote Sensing 2018, 10, 594
Next Article in Special Issue
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
Previous Article in Journal
Desertification Information Extraction Based on Feature Space Combinations on the Mongolian Plateau
Previous Article in Special Issue
Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery
Open AccessArticle

Using Time Series of High-Resolution Planet Satellite Images to Monitor Grapevine Stem Water Potential in Commercial Vineyards

1
Institute of Agricultural Engineering, Agricultural Research Organization (Volcani Center), P.O. Box 15159, Rishon LeZion 7505101, Israel
2
Department of Geography and the Environment, Bar-Ilan University, Ramat Gan 5290002, Israel
3
Institute of Plant Sciences and Genetics in Agriculture, The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel
4
Department of Agriculture and Oenology, Eastern R&D Center, Ariel 40700, Israel
5
Department of Chemistry & Biotech Engineering, Ariel University, Ariel 40700, Israel
6
Department of Soil, Water and Environmental Sciences, Agricultural Research Organization Gilat Research Center, Mobile post Negev, Gilat 8531100, Israel
7
TerraVision Lab, Midreshet Ben-Gurion 8499000, Israel
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(10), 1615; https://doi.org/10.3390/rs10101615
Received: 1 August 2018 / Revised: 20 September 2018 / Accepted: 9 October 2018 / Published: 11 October 2018
(This article belongs to the Special Issue High Resolution Image Time Series for Novel Agricultural Applications)
Spectral-based vegetation indices (VI) have been shown to be good proxies of grapevine stem water potential (Ψstem), assisting in irrigation decision-making for commercial vineyards. However, VI-Ψstem correlations are mostly reported at the leaf or canopy scales, using proximal canopy-based sensors or very-high-spatial resolution images derived from sensors mounted on small airplanes or drones. Here, for the first time, we take advantage of high-spatial resolution (3-m) near-daily images acquired from Planet’s nano-satellite constellation to derive VI-Ψstem correlations at the vineyard scale. Weekly Ψstem was measured along the growing season of 2017 in six vines each in 81 commercial vineyards and in 60 pairs of grapevines in a 2.4 ha experimental vineyard in Israel. The Clip application programming interface (API), provided by Planet, and the Google Earth Engine platform were used to derive spatially continuous time series of four VIs—GNDVI, NDVI, EVI and SAVI—in the 82 vineyards. Results show that per-week multivariable linear models using variables extracted from VI time series successfully tracked spatial variations in Ψstem across the experimental vineyard (Pearson’s-r = 0.45–0.84; N = 60). A simple linear regression model enabled monitoring seasonal changes in Ψstem along the growing season in the vineyard (r = 0.80–0.82). Planet VIs and seasonal Ψstem data from the 82 vineyards were used to derive a ‘global’ model for in-season monitoring of Ψstem at the vineyard-level (r = 0.78; RMSE = 18.5%; N = 970). The ‘global’ model, which requires only a few VI variables extracted from Planet images, may be used for real-time weekly assessment of Ψstem in Mediterranean vineyards, substantially improving the efficiency of conventional in-field monitoring efforts. View Full-Text
Keywords: Google Earth Engine; grapevine; irrigation; Planet; time series; stem water potential; VI; vineyard Google Earth Engine; grapevine; irrigation; Planet; time series; stem water potential; VI; vineyard
Show Figures

Graphical abstract

MDPI and ACS Style

Helman, D.; Bahat, I.; Netzer, Y.; Ben-Gal, A.; Alchanatis, V.; Peeters, A.; Cohen, Y. Using Time Series of High-Resolution Planet Satellite Images to Monitor Grapevine Stem Water Potential in Commercial Vineyards. Remote Sens. 2018, 10, 1615.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop