Finally, multiscale features and difference features are transmitted and fused layer by layer to obtain the content of cropland change. In the experiments, the proposed method is compared with six advanced change detection methods using the cropland change detection dataset (CLCD). The ...
We also introduce SHCD ( https://github.com/LeeJiEunx/SHCD.git ), a novel dataset specifically designed for hilly cropland change detection, which aims to advance research in this domain. Our findings underscore MADNet's potential in supporting decision-making for agricultural policy formulation...
In the present study, we present a global cropland extent and change dataset that can contribute to monitoring national and global progress towards SDGs. We define cropland as land used for annual and perennial herbaceous crops for human consumption, forage (including hay) and biofuel. Perennial ...
- 《Global Change Biology》 被引量: 311发表: 2010年 Uncertainties in estimates of cropland area in China: a comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset The large uncertainties in estimates of cropland area in China may have significant implications for major ...
CCD-Maize: A twenty-year dataset of maize distribution with high spatial resolution in China, ScienceDB, https://doi.org/10.57760/sciencedb.08490 (2023). You, N. & Dong, J. Examining earliest identifiable timing of crops using all available sentinel 1/2 imagery and google earth engine. ...
(2021). Basic soil property dataset of high-resolution China Soil Information Grids (2010–2018). National Tibetan Plateau / Third Pole Environment Data Center. https://doi.org/10.11666/00073.ver1.db Liu, L. M., Zhou, D., Chang, X., & Lin, Z. L. (2020). A new grading system ...
For example, convolutional neural networks (CNN) can mine more hidden information from a dataset through convolutional layers and have been used in change detection (Xiao et al., 2019a, Xiao et al., 2019b) and SOC prediction (Wadoux et al., 2019; Padarian et al., 2019). Therefore, ...
From the field survey using GPS the cropland area is found to be 3635Ha which is found closest to the cropland area computed from the Sentinel-2 dataset using SVM. From the Table 2 it can be noted that there is over-classification of cropland area and under classification of non-crop...
Despite the wide use of ESA-CCI in land change studies, ESA-CCI product is not designed for change detection. Mapping cropland abandonment with the ESA-CCI dataset has a few limitations, such as mixed pixel issues (i.e., multiple land-use classes in a coarse resolution pixel), and errors...
//developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR. The crop area datasets are accessible athttps://mapspam.info/. The global land cover and land use change datasets are accessible athttps://glad.umd.edu/dataset/GLCLUC2020. Spatial data for all countries and ...