eprintid: 4815
rev_number: 6
eprint_status: archive
userid: 422
dir: disk0/00/00/48/15
datestamp: 2023-06-15 04:10:01
lastmod: 2023-06-15 04:10:01
status_changed: 2023-06-15 04:10:01
type: article
metadata_visibility: show
creators_name: Ha, Minh-Cuong
creators_name: Darrozes, José
creators_name: Llubes, Muriel
creators_name: Grippa, Manuela
creators_name: Ramillien, Guillaume
creators_name: Frappart, Frédéric
creators_name: Baup, Frédéric
creators_name: Tagesson, Håkan Torbern
creators_name: Mougin, Eric
creators_name: Guiro, Idrissa
creators_name: Kergoat, Laurent
creators_name: Nguyen, Huu Duy
creators_name: Seoane, Lucia
creators_name: Dufrechou, Gregory
creators_name: Vu, Phuong-Lan
title: GNSS-R monitoring of soil moisture dynamics in areas of severe drought: example of Dahra in the Sahelian climatic zone (Senegal)
ispublished: pub
subjects: Aerospace
divisions: sae
abstract: With population growth, water will increase in the following decades tremendously. The optimization of water allocation for agriculture requires accurate soil moisture (SM) monitoring. Recent Global Navigation Satellite System Reflectometry (GNSS-R) studies take advantage of continuously emitted navigation signals by the Global Navigation Satellite System (GNSS) constellations to retrieve spatiotemporal soil moisture changes for soil with high clay content. It presents the advantage of sensing a whole surface around a reference GNSS antenna. This article focuses on sandy SM monitoring in the driest condition observed in the study field of Dahra, (Senegal). The area consists of 95% sand and in situ volumetric soil moisture (VSM) range from ~3% to ~5% durinf the dry to the rainy season. Unfortunately, the GNSS signals’ waves penetrated deep into the soil during the dry period and strongly reduced the accuracy of GNSS reflectometry (GNSS-R) surface moisture measurements. However, we obtain VSM estimate at low/medium penetration depth. The correlation reaches 0.9 with VSM error lower than 0.16% for the 5–10-cm-depth probes and achieves excellent temporal monitoring to benefit from the antenna heights directly correlated to spatial resolution. The SM measurement models in our research are potentially valuable tools that contribute to the planning of sustainable agriculture, especially in countries often affected by drought.
date: 2022-12-27
date_type: published
publisher: Taylor & Francis
official_url: https://www.tandfonline.com/journals/tejr20
id_number: https://doi.org/10.1080/22797254.2022.2156931
full_text_status: public
publication: European Journal of Remote Sensing
volume: 0
number: 0
pagerange: 1-19
refereed: TRUE
issn: 11298596
citation:   Ha, Minh-Cuong and Darrozes, José and Llubes, Muriel and Grippa, Manuela and Ramillien, Guillaume and Frappart, Frédéric and Baup, Frédéric and Tagesson, Håkan Torbern and Mougin, Eric and Guiro, Idrissa and Kergoat, Laurent and Nguyen, Huu Duy and Seoane, Lucia and Dufrechou, Gregory and Vu, Phuong-Lan  (2022) GNSS-R monitoring of soil moisture dynamics in areas of severe drought: example of Dahra in the Sahelian climatic zone (Senegal).  European Journal of Remote Sensing .   pp. 1-19.  ISSN 11298596     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4815/1/GNSS%20R%20monitoring%20of%20soil%20moisture%20dynamics%20in%20areas%20of%20severe%20drought%20example%20of%20Dahra%20in%20the%20Sahelian%20climatic%20zone%20Senegal.pdf