1. Главная
  2. Ресурсы
  3. Библиотечный поиск
Optical remotelysensed time seriesdata for land coverclassification: Areview Cristina GómezJoanne C. WhiteMichael A. Wulder2016 год

Optical remotely sensed time series data for land cover classification: A review

Полный текстСтраница публикацииПубликация в OpenAlex
Аннотация: Accurate land cover information is required for science, monitoring, and reporting. Land cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring and mapping of land cover and land cover change in a consistent and robust manner over large areas is made possible with Earth Observation (EO) data. Land cover products satisfying a range of science and policy information needs are currently produced periodically at different spatial and temporal scales. The increased availability of EO data—particularly from the Landsat archive (and soon to be augmented with Sentinel-2 data)—coupled with improved computing and storage capacity with novel image compositing approaches, have resulted in the availability of annual, large-area, gap-free, surface reflectance data products. In turn, these data products support the development of annual land cover products that can be both informed and constrained by change detection outputs. The inclusion of time series change in the land cover mapping process provides information on class stability and informs on logical class transitions (both temporally and categorically). In this review, we present the issues and opportunities associated with generating and validating time-series informed annual, large-area, land cover products, and identify methods suited to incorporating time series information and other novel inputs for land cover characterization.
Год издания: 2016
Авторы: Cristina Gómez, Joanne C. White, Michael A. Wulder
Издательство: Elsevier BV
Источник: ISPRS Journal of Photogrammetry and Remote Sensing
Ключевые слова: Remote Sensing in Agriculture, Remote-Sensing Image Classification, Land Use and Ecosystem Services
Другие ссылки: ISPRS Journal of Photogrammetry and Remote Sensing (HTML)
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (PDF)
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (HTML)