2021
DOI: 10.3390/rs13193874
|View full text |Cite
|
Sign up to set email alerts
|

Estimating Fractional Vegetation Cover of Row Crops from High Spatial Resolution Image

Abstract: With high spatial resolution remote sensing images being increasingly used in precision agriculture, more details of the row structure of row crops are captured in the corresponding images. This phenomenon is a challenge for the estimation of the fractional vegetation cover (FVC) of row crops. Previous studies have found that there is an overestimation of FVC for the early growth stage of vegetation in the current algorithms. When the row crops are a form in the early stage of vegetation, their FVC may also ha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 49 publications
(76 reference statements)
1
6
0
Order By: Relevance
“…Furthermore the overestimation affect mostly higer values (> 50%). Our results are in line with the study of [95] and [100] showing a higher accuracy for PROSAIL when estimating the FCover of row crops than empirical approaches. However, the authors agreed on the strong influence of the background on the capacity of PROSAIL to retrieve the FCover.…”
Section: B Sentinel-2 Data Have Good Potential For Estimating Fcover ...supporting
confidence: 91%
“…Furthermore the overestimation affect mostly higer values (> 50%). Our results are in line with the study of [95] and [100] showing a higher accuracy for PROSAIL when estimating the FCover of row crops than empirical approaches. However, the authors agreed on the strong influence of the background on the capacity of PROSAIL to retrieve the FCover.…”
Section: B Sentinel-2 Data Have Good Potential For Estimating Fcover ...supporting
confidence: 91%
“…The SAIL model assumes that the horizontal direction of the canopy is infinite [ 45 ]. Therefore, it is mainly suitable for estimating LAI and other traits of rather continuous and homogeneous crops [ 89 ]. Winter wheat is not a pronounced row crop (like maize) but belongs to the grass family (Poaceae).…”
Section: Discussionmentioning
confidence: 99%
“…This shared, two-layer neural network works. The features produced by the neural network are then added up: (1) Where:…”
Section: Attention Mechanismmentioning
confidence: 99%
“…Backpropagation training algorithms, Bayesian classification, and other conventional approaches to image data processing are mentioned. [1][2]. The accuracy of picture data identification is impacted by the fact that these conventional methods for processing image data primarily retrieve low-level features at the pixel level and call for manual pre-processing processes.…”
Section: Introductionmentioning
confidence: 99%