Applying RGB-Based Vegetation Indices Obtained from UAS Imagery for Monitoring the Rice Crop at the Field Scale: A Case Study in Portugal
Nowadays, Unmanned Aerial Systems (UASs) provide an efficient and relatively affordable remote sensing technology for assessing vegetation attributes and status across agricultural areas through wide-area imagery collected with cameras installed on board. This reduces the cost and time of crop monit...
Main Authors: | Romeu Gerardo, Isabel P. de Lima |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/13/10/1916 |
Similar Items
-
Study on the Estimation of Leaf Area Index in Rice Based on UAV RGB and Multispectral Data
by: Yuan Zhang, et al.
Published: (2024-08-01) -
Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery
by: Hongquan Wang, et al.
Published: (2024-09-01) -
Machine Learning-Based Processing of Multispectral and RGB UAV Imagery for the Multitemporal Monitoring of Vineyard Water Status
by: Patricia López-García, et al.
Published: (2022-09-01) -
Comparison of RGB and Multispectral Unmanned Aerial Vehicle for Monitoring Vegetation Coverage Changes on a Landslide Area
by: Flavio Furukawa, et al.
Published: (2021-09-01) -
UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops
by: Francisco Javier Mesas-Carrascosa
Published: (2020-11-01)