Mapping Very-High-Resolution Evapotranspiration from Unmanned Aerial Vehicle (UAV) Imagery
Bibliographic Data
| ID | 22032019 |
|---|---|
| Authors | Suyoung Park (0000-0002-7094-327X, Hort-Eye Pty Ltd., Melbourne, VIC 3000, Australia, corresponding author), Dongryeol Ryu (0000-0001-5905-6760, The University of Melbourne), Sigfredo Fuentes (0000-0002-0377-5085, The University of Melbourne), Hoam Chung (0000-0001-7044-3729, Monash University), Mark Joseph O’Connell (0000-0002-1027-9338, Department of Jobs, Precincts and Regions, Tatura, VIC 3616, Australia), M G O’Connell (0000-0002-8409-1573, The University of Melbourne), Junchul Kim (0000-0002-9489-0918, The Seoul Institute) |
| Year | 2021 |
| Volume | 10 |
| Issue | 4 |
| Pages | 211 |
| Publication date | 2021-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10040211 |
| OpenAlex | W3144545165 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
There is a growing concern about water scarcity and the associated decline in Australia’s agricultural production. Efficient water use as a natural resource requires more precise and adequate monitoring of crop water use and irrigation scheduling. Therefore, accurate estimations of evapotranspiration (ET) at proper spatial–temporal scales are critical to understand the crop water demand and uptake and to enable optimal irrigation scheduling. Remote sensing (RS)-based ET estimation has been adopted as a method for large-scale applications when the detailed spatial representation of ET is required. This research aimed to estimate instantaneous ET using very-high-resolution (VHR) multispectral and thermal imagery (GSD
Agronomy · Canopy · Crop coefficient · Evapotranspiration · Geography · Irrigation scheduling · Leaf area index · Multispectral image · Remote sensing · Transpiration · Environmental Science · Leaf Properties and Growth Measurement · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Soil Science
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |