May 4, 2020 · The objective of this study is to build an operational approach capable of detecting irrigation events at plot scale in a near real-time scenario using ...

The novelty of the proposed method resides in building an effective unsupervised tool for near real-time detection of irrigation events at plot scale ...

Results over Catalonia also show that the proposed method allows the discrimination between irrigated and non-irrigated plots with an overall accuracy of 85.9%.

The proposed irrigation detection model relies on the change detection in the S1 backscattering coefficients at plot scale.

The proposed approach is a decision tree-based method relying on the change detection in the S1 backscattering coefficients at plot scale. First, the behavior ...

This paper proposes a new approach for detecting irrigation events at plot scale in a near real-time scenario. The proposed method is a decision tree-based ...

Near Real-Time Irrigation Detection at Plot Scale Using Sentinel-1 Data · Environmental Science, Agricultural and Food Sciences. Remote. Sens. · 2020.

This paper proposes a new approach for detecting irrigation events at plot scale in a near real-time scenario. The proposed method is a decision tree-based ...

In this study, we present an operational methodology for mapping irrigated areas at plot scale, which overcomes the limitation of terrain data availability, ...

The objective of this study is to propose a new model capable of detecting the irrigation events using the Sentinel-1 (S1) Cband SAR (synthetic-aperture radar) ...