tailieunhanh - Remote Sensing for Sustainable Forest Management - Chapter 6

Đất đai, được xem xét theo nghĩa rộng nhất, có một số lượng rất lớn các thuộc tính có thể được sử dụng để phân loại và mô tả, tùy thuộc vào mục đích của việc phân loại và nhu cầu của các phân loại. - C. J. Robinove năm 1981 THÔNG TIN VỀ LỚP RỪNG Cảm biến từ xa có thể cung cấp thông tin về rừng thông qua việc phân loại các mô hình phản ứng quang phổ. Quan tâm là một bản tóm tắt sự phân bố của các lớp học, và các sản phẩm bản đồ mô tả. | 6 Forest Classification Land considered in the broadest sense has an extremely large number of attributes that may be used for classification and description depending on the purpose of the classification and the needs of the classifier. C. J. Robinove 1981 INFORMATION ON FOREST CLASSES Remote sensing can provide information on forests through classification of spectral response patterns. Of interest is a summary of the distribution of classes and map products that depict the spatial arrangement of the classes. The process of mapping the results of classification must necessarily follow the rules of logic which express formally the philosophy and criteria by which maps for various management applications will be created and assessed Robinove 1981 . In addition classification and mapping are always done for some purpose it is this purpose and the skill of the analyst which exert perhaps the strongest influence on the accuracy and utility of the final products. In this world of limited resources computer support and personnel there are only a few practical ways in which the optimal remote sensing classification from which usable maps can be obtained for sustainable forest management can be accomplished. The many issues and approaches to forest and land classification and mapping have generated a rich and specialized literature and language what follows is an attempt to sort out some of the larger issues particularly from the perspective of the producer and user of remote sensing classifications and maps in sustainable forest management. Of specific interest are the insights sought by users who may need to understand and appreciate the role that unique forest classifications and maps obtained from remote sensing data can have in the process of forest management. For example it is expected that remote sensing will continue to be the technology of choice in the creation of classifications and maps that are timely synoptic and at a particular level of detail that .