欢迎访问《生态学杂志》官方网站,今天是

生态学杂志 ›› 2026, Vol. 45 ›› Issue (9): 2922-2933.doi: 10.13292/j.1000-4890.202609.024

• ·红树林湿地生态学专栏·(专栏组织专家:曹文志、王文卿、宋长春) • 上一篇    下一篇

基于Sentinel-2影像的红树林潮沟网络提取及形态特征与排水效率

张迪娜1,2,辛琨1*,程继亮1,艾熙航1,胡凯杰1,张鹏1,3   

  1. (1中国林业科学研究院热带林业研究所, 湿地环境保护与生态修复全国重点实验室, 广州 510520; 2南京林业大学, 南京 210037; 3华南农业大学资源环境学院, 广州 510642)
  • 出版日期:2026-09-10 发布日期:2026-09-07

Extraction of mangrove tidal creek network using Sentinel-2 imagery and their morphological characteristics and drainage efficiency.

ZHANG Dina1,2, XIN Kun1*, CHENG Jiliang1, AI Xihang1, HU Kaijie1, ZHANG Peng1,3   

  1. (1State Key Laboratory of Wetland Conservation and Restoration, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China; 2Nanjing Forestry University, Nanjing 210037, China; 3College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China).

  • Online:2026-09-10 Published:2026-09-07

摘要: 潮沟网络作为调控红树林湿地水文连通性与稳定性的关键地貌单元,其空间分布和形态特征对排水效率及植被格局具有直接影响。本研究以孟加拉国孙德尔本斯红树林为例,基于Sentinel2多光谱影像,采用目前较为常用的4种水体指数(NDWI、mNDWI、AWEIsh和AWEInsh),结合改进的模糊C均值聚类算法(MFCM)和自适应阈值分割方法,实现了红树林潮沟网络的提取。经目视解译修正后,进一步提取潮沟等级、数量、长度、分汊率、密度、曲率等关键的形态特征参数,并计算平均归槽长度(OPL)以定量表征研究区潮沟网络的排水效率。结果表明:(1)4种水体指数均可以较好地识别红树林潮沟,其中AWEIsh的提取效果最佳;(2)研究区潮沟网络最高发育至5级,潮沟数量随等级升高呈幂指数下降趋势(R2>0.99);(3)潮沟的形态特征与排水效率表现出明显的空间异质性,其中,区域Ⅲ潮沟数量最多,密度、分汊率最大,但平均长度和曲率最小;区域Ⅰ则相反,潮沟数量最少、但高等级潮沟(5级)数量多于区域Ⅲ。整体的排水效率区域Ⅲ>区域Ⅱ>区域Ⅰ;(4)OPL与潮沟密度、分汊率及频数呈负相关(r分别为-0.86、-0.77、-0.74,P<0.001),而与潮沟平均长度呈正相关(r=0.60,P>0.05)。本研究有助于了解红树林潮沟网络形态特征与排水效率的空间分异规律,为红树林湿地保护与生态修复提供理论依据。


关键词: 红树林, 潮沟网络, 形态特征, 排水效率, Sentinel-2影像

Abstract: Tidal creek networks are fundamental geomorphic units that regulate hydrological connectivity and structural stability in mangrove ecosystems. Their spatial distribution and morphological characteristics affect drainage efficiency and vegetation patterning. Based on Sentinel-2 multispectral imagery, we integrated four widely adopted water indices (i.e., the normalized difference water index (NDWI), the modified normalized difference water index (mNDWI), automated water extraction index with shadows (AWEIsh), and automated water extraction index without shadows (AWEInsh)), with a modified fuzzy means clustering algorithm (MFCM) and an adaptive thresholding segmentation approach to delineate the mangrove tidal creek network in the Sundarbans mangrove in Bangladesh. Following visual interpretation and correction, key morphological parameters were extracted, including creek order, count, length, bifurcation ratio, density, and sinuosity. The overmarsh path length (OPL) was calculated to quantitatively characterize the drainage efficiency of the creek network in the study area. The results showed that: (1) All four water indices effectively identified mangrove tidal creeks, with AWEIsh yielding the highest extraction accuracy. (2) Tidal creeks developed up to the 5th order, and the number of creeks decreased exponentially with increasing creek order (R2>0.99). (3) Both morphological characteristics and drainage efficiency exhibited spatial heterogeneity. Region III had the greatest number of creeks, the highest density and bifurcation ratio, but the lowest mean length and sinuosity. Region I showed the inverse pattern, with the fewest creek numbers but a greater number of high-order (fifth-order) creeks than Region III. Overall drainage efficiency ranked as follows: Region III > Region II > Region I. (4) OPL was negatively correlated with creek density, bifurcation ratio, and frequency (r=-0.86, -0.77, and -0.74, respectively, P<0.001), and positively correlated with the average creek length (r=0.60, P>0.05). This study contributes to understanding the spatial differentiation patterns of morphological characteristics and drainage efficiency in mangrove wetland tidal creek networks, providing a theoretical basis for mangrove wetland conservation and ecological restoration.


Key words: mangrove, tidal creek network, morphological characteristic, drainage efficiency, Sentinel-2 imagery