Monitoring sugarcane and waterlogging with a multi-sensor approach for sustainable agriculture

Poster (2022)

Authors

N.I. den Besten Water Resources -

S.C. Steele-Dunne Mathematical Geodesy and Positioning -

Benjamin Aouizerats Planet Labs PBC

Rogier Burger Planet Labs PBC

P. van der Zaag Water Resources - , IHE Delft Institute for Water Education

Richard de Jeu Planet Labs PBC

Research Group

Water Resources () (TU Delft)

To reference this document use:

http://resolver.tudelft.nl/uuid:dbfc817e-7a47-4ccf-ad73-697f495b8a12

More Info

expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Department

Water Management

Research Group

Water Resources

Abstract

Satellite sensors have been
promoted widely as a technology to monitor crop canopies to encourage
sustainable agriculture. Different remote sensing technologies are able
to detect crop stress and water shortages, with a special emphasis on
water stress. Improving water and crop productivity goes hand in hand.
Moreover, crop stress resulting from waterlogging leads to suboptimal
crop productivity. However, this has so far received little attention in
literature and, consequently, technological development. This is
surprising because approximately twenty percent of the global
agricultural land suffers from the consequences of waterlogging and
secondary soil salinization.
In this study we focus on an
irrigated sugarcane plantation in southern Mozambique burdened by
waterlogging. We show how Sentinel-1 backscatter and Planet NDVI can be
used to monitor sugarcane development. Our results demonstrate
Sentinel-1 backscatter is able to monitor sucrose development and, in
addition, how waterlogging influences the radar signals in different
growth stages. Consequently, we show the potential to monitor sugarcane
development and waterlogging simultaneously.