Next Article in Journal
Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
Next Article in Special Issue
Crop Classification in Satellite Images through Probabilistic Segmentation Based on Multiple Sources
Previous Article in Journal
Improved Scheduling Mechanisms for Synchronous Information and Energy Transmission
Previous Article in Special Issue
Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(6), 1338; doi:10.3390/s17061338

A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions

1
Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, Via Bassini 15, Milano 20133, Italy
2
ARPA Lombardia, Lombardy Environmental Protection Agency, Via Ippolito Rosellini 17, Milano 20124, Italy
3
Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da Vinci 32, Milano 20133, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Lammert Kooistra
Received: 14 March 2017 / Revised: 5 June 2017 / Accepted: 6 June 2017 / Published: 9 June 2017
(This article belongs to the Special Issue Precision Agriculture and Remote Sensing Data Fusion)
View Full-Text   |   Download PDF [7832 KB, uploaded 9 June 2017]   |  

Abstract

The triangle method has been applied to derive a weekly indicator of evaporative fraction on vegetated areas in a temperate region in Northern Italy. Daily MODIS Aqua Land Surface Temperature (MYD11A1) data has been combined with air temperature maps and 8-day composite MODIS NDVI (MOD13Q1/MYD13Q1) data to estimate the Evaporative Fraction (EF) at 1 km resolution, on a daily basis. Measurements at two eddy covariance towers located within the study area have been exploited to assess the reliability of satellite based EF estimations as well as the robustness of input data. Weekly syntheses of the daily EF indicator (EFw) were then derived at regional scale for the years 2010, 2011 and 2012 as a proxy of overall surface moisture condition. EFw showed a temporal behavior consistent with growing cycles and agro-practices of the main crops cultivated in the study area (rice, forages and corn). Comparison with official regional corn yield data showed that variations in EFw cumulated over summer are related with crop production shortages induced by water scarcity. These results suggest that weekly-averaged EF estimated from MODIS data is sensible to water stress conditions and can be used as an indicator of crops’ moisture conditions at agronomical district level. Advantages and disadvantages of the proposed approach to provide information useful to issue operational near real time bulletins on crop conditions at regional scale are discussed. View Full-Text
Keywords: evaporative fraction; surface moisture status; corn yield; crop monitoring evaporative fraction; surface moisture status; corn yield; crop monitoring
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Nutini, F.; Stroppiana, D.; Busetto, L.; Bellingeri, D.; Corbari, C.; Mancini, M.; Zini, E.; Brivio, P.A.; Boschetti, M. A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions. Sensors 2017, 17, 1338.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top