Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south
Accurate and timely information on surface water quality and quantity is critical for various applications, including irrigation agriculture. In-field water quality and quantity data from unmanned aerial vehicle systems (UAVs) could be useful in closing spatial data gaps through the generation of near-real-time, fine resolution, spatially explicit information required for water resources accounting. This study assessed the progress, opportunities, and challenges in mapping and modelling water quality and quantity using data from UAVs. To achieve this research objective, a systematic review was adopted. The results show modest progress in the utility of UAVs, especially in the global south. This could be attributed, in part, to high costs, a lack of relevant skills, and the regulations associated with drone procurement and operational costs. The progress is further compounded by a general lack of research focusing on UAV application in water resources monitoring and assessment. More importantly, the lack of robust and reliable water quantity and quality data needed to parameterise models remains challenging. However, there are opportunities to advance scientific inquiry for water quality and quantity accounting by integrating UAV data and machine learning.
Main Authors: | , , , , , , , |
---|---|
Format: | Article biblioteca |
Language: | English |
Published: |
MDPI
2021
|
Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Drones, Green Water, Integrated Water Management Strategies, Smallholder Farms, UNMANNED AERIAL VEHICLES, WATER MANAGEMENT, REMOTE SENSING, SMALLHOLDERS, WATER PRODUCTIVITY, |
Online Access: | https://hdl.handle.net/10883/21653 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cimmyt-10883-21653 |
---|---|
record_format |
koha |
spelling |
dig-cimmyt-10883-216532021-09-22T15:22:07Z Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south Sibanda, M. Mutanga, O. Chimonyo, V.G.P. Clulow, A.D. Shoko, C. Mazvimavi, D. Dube, T. Mabhaudhi, T. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Drones Green Water Integrated Water Management Strategies Smallholder Farms UNMANNED AERIAL VEHICLES WATER MANAGEMENT REMOTE SENSING SMALLHOLDERS WATER PRODUCTIVITY Accurate and timely information on surface water quality and quantity is critical for various applications, including irrigation agriculture. In-field water quality and quantity data from unmanned aerial vehicle systems (UAVs) could be useful in closing spatial data gaps through the generation of near-real-time, fine resolution, spatially explicit information required for water resources accounting. This study assessed the progress, opportunities, and challenges in mapping and modelling water quality and quantity using data from UAVs. To achieve this research objective, a systematic review was adopted. The results show modest progress in the utility of UAVs, especially in the global south. This could be attributed, in part, to high costs, a lack of relevant skills, and the regulations associated with drone procurement and operational costs. The progress is further compounded by a general lack of research focusing on UAV application in water resources monitoring and assessment. More importantly, the lack of robust and reliable water quantity and quality data needed to parameterise models remains challenging. However, there are opportunities to advance scientific inquiry for water quality and quantity accounting by integrating UAV data and machine learning. 2021-09-18T00:25:15Z 2021-09-18T00:25:15Z 2021 Article Published Version https://hdl.handle.net/10883/21653 10.3390/drones5030084 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access Basel (Switzerland) MDPI 3 5 2504-446X Drones 84 |
institution |
CIMMYT |
collection |
DSpace |
country |
México |
countrycode |
MX |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-cimmyt |
tag |
biblioteca |
region |
America del Norte |
libraryname |
CIMMYT Library |
language |
English |
topic |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Drones Green Water Integrated Water Management Strategies Smallholder Farms UNMANNED AERIAL VEHICLES WATER MANAGEMENT REMOTE SENSING SMALLHOLDERS WATER PRODUCTIVITY AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Drones Green Water Integrated Water Management Strategies Smallholder Farms UNMANNED AERIAL VEHICLES WATER MANAGEMENT REMOTE SENSING SMALLHOLDERS WATER PRODUCTIVITY |
spellingShingle |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Drones Green Water Integrated Water Management Strategies Smallholder Farms UNMANNED AERIAL VEHICLES WATER MANAGEMENT REMOTE SENSING SMALLHOLDERS WATER PRODUCTIVITY AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Drones Green Water Integrated Water Management Strategies Smallholder Farms UNMANNED AERIAL VEHICLES WATER MANAGEMENT REMOTE SENSING SMALLHOLDERS WATER PRODUCTIVITY Sibanda, M. Mutanga, O. Chimonyo, V.G.P. Clulow, A.D. Shoko, C. Mazvimavi, D. Dube, T. Mabhaudhi, T. Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
description |
Accurate and timely information on surface water quality and quantity is critical for various applications, including irrigation agriculture. In-field water quality and quantity data from unmanned aerial vehicle systems (UAVs) could be useful in closing spatial data gaps through the generation of near-real-time, fine resolution, spatially explicit information required for water resources accounting. This study assessed the progress, opportunities, and challenges in mapping and modelling water quality and quantity using data from UAVs. To achieve this research objective, a systematic review was adopted. The results show modest progress in the utility of UAVs, especially in the global south. This could be attributed, in part, to high costs, a lack of relevant skills, and the regulations associated with drone procurement and operational costs. The progress is further compounded by a general lack of research focusing on UAV application in water resources monitoring and assessment. More importantly, the lack of robust and reliable water quantity and quality data needed to parameterise models remains challenging. However, there are opportunities to advance scientific inquiry for water quality and quantity accounting by integrating UAV data and machine learning. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Drones Green Water Integrated Water Management Strategies Smallholder Farms UNMANNED AERIAL VEHICLES WATER MANAGEMENT REMOTE SENSING SMALLHOLDERS WATER PRODUCTIVITY |
author |
Sibanda, M. Mutanga, O. Chimonyo, V.G.P. Clulow, A.D. Shoko, C. Mazvimavi, D. Dube, T. Mabhaudhi, T. |
author_facet |
Sibanda, M. Mutanga, O. Chimonyo, V.G.P. Clulow, A.D. Shoko, C. Mazvimavi, D. Dube, T. Mabhaudhi, T. |
author_sort |
Sibanda, M. |
title |
Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
title_short |
Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
title_full |
Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
title_fullStr |
Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
title_full_unstemmed |
Application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
title_sort |
application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south |
publisher |
MDPI |
publishDate |
2021 |
url |
https://hdl.handle.net/10883/21653 |
work_keys_str_mv |
AT sibandam applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT mutangao applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT chimonyovgp applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT clulowad applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT shokoc applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT mazvimavid applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT dubet applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth AT mabhaudhit applicationofdronetechnologiesinsurfacewaterresourcesmonitoringandassessmentasystematicreviewofprogresschallengesandopportunitiesintheglobalsouth |
_version_ |
1756087013623201792 |