Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA. International Journal of Remote Sensing 33(9), 6094-6108.Howard, D. M., Wylie, B. K., & Tieszen, L. L. (2012). Crop classification modelling using remote sensing and environ-...
The accuracy of cotton crop classification using satellite data has been assessed with respect to a detailed land cover map prepared by field survey. The e... S Dutta,SA Sharma,AP Khera,... - 《Isprs Journal of Photogrammetry & Remote Sensing》 被引量: 59发表: 1994年 Remote sensing: A...
Remote sensing technology has become a popular tool for crop classification, but it faces challenges in accurately identifying crops in areas with fragmented land plots and complex planting structures. To address this issue, we propose an improved method for crop identification in high-resol...
Crop classification using remote sensing data has emerged as a prominent research area in recent decades. Studies have demonstrated that fusing SAR and optical images can significantly enhance the accuracy of classification. However, a major challenge in this field is the limited availability of trainin...
A map that characterizes the extent and type of crops over a region, often derived from satellite imagery classification. Idiosyncratic risk Risk that is specific to an individual and is uncorrelated with losses experienced by neighbours or others in the insurance zone. Trigger The level of the in...
The problem was formatted as a classification problem with the objective of labeling unseen observations’ agro-ecologies (highlands or lowlands). They found that Linear discriminant analysis (LDA) performed better than other trained models, including logistic regression, K-nearest neighbor, decision ...
object-based classificationimage segmentationIdentification of crop species is an important issue in agricultural management. In recent years, many studies have explored this topic using multi-spectral and hyperspectral remote sensing data. In this study, we perform dedicated research to propose a ...
Classification was performed using a neural network classifier trained separately for each year. Field observations conducted in the western part of Poland ... Stankiewicz,A K. - 《IEEE Transactions on Geoscience & Remote Sensing》 被引量: 92发表: 2006年 Feature Selection of Time Series MODIS Da...
1.Remote sensing of crop residue cover using multi-temporal Landsat imagery and spring 机译:利用多时态Landsat影像遥感作物残留量 Zheng B. ,Campbell J.B. ,de Beurs K.M. - Remote Sensing of Environment: An Interdisciplinary Journal - 2012 2.Land cover classification and change detection analysi...
Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published in KDD Applied Data Science Track 2020 deep-neural-networks remote-sensing two-stream crop-classification Updated Aug 18, 2020 Python Improve...