National Coral Reef Institute, Nova Southeastern University, Dania Beach, FL 33004, USA.
Mar Pollut Bull. 2012 Jun;64(6):1222-37. doi: 10.1016/j.marpolbul.2012.03.003. Epub 2012 Apr 4.
We propose a framework for spatially estimating a proxy for coral reef resilience using remote sensing. Data spanning large areas of coral reef habitat were obtained using the commercial QuickBird satellite, and freely available imagery (NASA, Google Earth). Principles of coral reef ecology, field observation, and remote observations, were combined to devise mapped indices. These capture important and accessible components of coral reef resilience. Indices are divided between factors known to stress corals, and factors incorporating properties of the reef landscape that resist stress or promote coral growth. The first-basis for a remote sensed resilience index (RSRI), an estimate of expected reef resilience, is proposed. Developed for the Red Sea, the framework of our analysis is flexible and with minimal adaptation, could be extended to other reef regions. We aim to stimulate discussion as to use of remote sensing to do more than simply deliver habitat maps of coral reefs.
我们提出了一个使用遥感技术对珊瑚礁恢复力进行空间估算的框架。该框架使用商业卫星 QuickBird 和免费的 NASA、谷歌地球图像数据，对大面积的珊瑚礁栖息地进行了数据收集。我们综合运用了珊瑚礁生态学原理、实地观测和遥感观测，设计出了映射指数。这些指数涵盖了珊瑚礁恢复力的重要且可获取的组成部分。指数分为已知会对珊瑚造成压力的因素，以及包含抵御压力或促进珊瑚生长的珊瑚礁景观特性的因素。我们提出了第一个基于遥感的恢复力指数（RSRI），用于估计预期的珊瑚礁恢复力。该框架是针对红海开发的，具有灵活性和最小的适应性，可扩展到其他珊瑚礁区域。我们旨在通过使用遥感技术来实现不仅仅是提供珊瑚礁栖息地地图的目标，从而激发讨论。
