Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines

The Cordillera Administrative Region (CAR) in the Philippines is among the last forest frontiers in the country and is also home to 13 major watersheds in Northern Luzon that supply irrigation and hydroelectricity to other regions. However, it is faced with the deterioration of the quality of its watersheds due to forest loss driven mainly by agricultural expansion and illegal logging. Thus, this study was conducted to analyze the spatial and temporal patterns of forest loss that could serve as a basis for policy decisions. Also, this paper determined the strength of relationships using Pearson’s correlation coefficient (r) between forest loss and seven independent variables, which includes forest cover, agricultural areas, built-up, road network, and socio-economic data. This study utilized the Hansen Global Forest Change (HGFC), a Landsat-derived dataset from 2001 to 2019. Results revealed that 70,925 hectares (ha) of forest loss were detected with an annual deforestation rate of 3,74...

菲律宾科迪勒拉行政区（Cordillera Administrative Region, CAR）乃是该国现存为数不多的森林生态前沿区域之一，同时拥有吕宋北部13处主要流域，这些流域可为其他地区提供灌溉用水与水力电力支撑。然而，该区域正面临流域质量持续退化的问题，其主要诱因是农业扩张与非法采伐引发的森林流失。为此，本研究旨在分析森林流失的时空分布格局，以期为政策制定提供科学依据。此外，本研究借助皮尔逊相关系数（Pearson’s correlation coefficient, r），量化探究了森林流失与7项自变量间的关联强度，这7项自变量涵盖森林覆盖率、农业用地、建成区、道路网络以及社会经济数据。本研究采用了汉森全球森林变化数据集（Hansen Global Forest Change, HGFC），该数据集基于2001年至2019年的陆地卫星（Landsat）影像生成。研究结果显示，共检测到70925公顷的森林流失，年森林砍伐率为3,74...