Geo-Parcel Based Crop Identification by Integrating High Spatial-Temporal Resolution Imagery from Multi-Source Satellite Data
نویسندگان
چکیده
منابع مشابه
Geo-Parcel Based Crop Identification by Integrating High Spatial-Temporal Resolution Imagery from Multi-Source Satellite Data
Geo-parcel based crop identification plays an important role in precision agriculture. It meets the needs of refined farmland management. This study presents an improved identification procedure for geo-parcel based crop identification by combining fine-resolution images and multi-source medium-resolution images. GF-2 images with fine spatial resolution of 0.8 m provided agricultural farming pl...
متن کاملObject Recognition Based on High Spatial Resolution Panchromatic Satellite Imagery
This paper presents two concepts for the detection of different objects from high spatial resolution satellite imagery like MOMS-02. The first method is a supervised image segmentation technique which allows a target oriented search for smaller objects. Based on the variation of threshold parameters, different regions are formed by pixel aggregation and selected by a shape classification using ...
متن کاملObject-Based Greenhouse Horticultural Crop Identification from Multi-Temporal Satellite Imagery: A Case Study in Almeria, Spain
Greenhouse detection and mapping via remote sensing is a complex task, which has already been addressed in numerous studies. In this research, the innovative goal relies on the identification of greenhouse horticultural crops that were growing under plastic coverings on 30 September 2013. To this end, object-based image analysis (OBIA) and a decision tree classifier (DT) were applied to a set c...
متن کاملA spatial–temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery
Sudden Oak Death is a new and virulent disease affecting hardwood forests in coastal California. The spatial–temporal dynamics of oak mortality at the landscape scale are crucial indicators of disease progression. Modeling disease spread requires accurate mapping of the dynamic pattern of oak mortality in time through multi-temporal image analysis. Traditional mapping approaches using per-pixel...
متن کاملAssessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery
1 CESBIO-UMR 5126, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France; E-Mails: [email protected] (M.A.); [email protected] (B.T.); [email protected] (O.H.); [email protected] (S.V.); [email protected] (D.M.); [email protected] (G.D.) 2 Earth and Life Institute, Université Catholique de Louvain, 2 Croix du Sud bte L7.05.24, 1348 Louvain-la-Neuv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2017
ISSN: 2072-4292
DOI: 10.3390/rs9121298