Ứng dụng ảnh viễn thám độ phân giải cao thành lập bản đồ hiện trạng cây ăn trái tại huyện Chợ Lách, tỉnh Bến Tre
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Abstract
The study utilizes high-resolution satellite imagery from Google Satellite and Planet Nicfi, combined with the Object-Based Image Analysis (OBIA) method and Support Vector Machine (SVM) algorithm to create a map of fruit tree distribution in Cho Lach District, Ben Tre Province in 2024. The classification results demonstrate high reliability, achieving an overall accuracy of 92.6% and a Kappa coefficient of 0.9. The spatial distribution of fruit trees shows that durian occupies the largest area, covering 5,388.9 ha (32.0% of the total natural area), followed by nursery plantations (19.6%), rambutan (11.9%) and coconut (7.4%). The research provides detailed information on the distribution of fruit trees in Cho Lach District, while also offering valuable data to support efficient land management and agricultural land-use planning, contributing significantly to the sustainable development of the agricultural sector in Ben Tre Province.
Tóm tắt
Nghiên cứu sử dụng dữ liệu ảnh vệ tinh độ phân giải cao từ Google Satellite và Planet Nicfi kết hợp phương pháp phân loại theo hướng đối tượng (OBIA) - thuật toán máy vector hỗ trợ (SVM) để xây dựng bản đồ hiện trạng cây ăn trái tại huyện Chợ Lách, tỉnh Bến Tre năm 2024. Kết quả phân loại đạt độ tin cậy cao với độ chính xác toàn cục và hệ số Kappa lần lượt là 92,6% và 0,9. Sầu riêng là loại cây trồng chiếm diện tích lớn nhất với 5.388,9 ha (32,0% tổng diện tích tự nhiên), tiếp theo là vườn ươm giống (19,6%), chôm chôm (11,9%) và dừa (7,4%). Kết quả nghiên cứu cung cấp thông tin chi tiết về hiện trạng phân bố các loại cây ăn trái, hỗ trợ hiệu quả cho công tác quản lý và quy hoạch sử dụng đất nông nghiệp tại huyện Chợ Lách, đồng thời đóng góp quan trọng vào việc định hướng phát triển bền vững ngành nông nghiệp của tỉnh Bến Tre.
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