School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, FL, USA.
Foreign Relations, Training, and Research Department, General Directorate of Forestry, Ankara, Türkiye.
Environ Monit Assess. 2023 Sep 21;195(10):1236. doi: 10.1007/s10661-023-11870-x.
Land use, land use change, and forestry (LULUCF) are critical in climate change mitigation. Producing or collecting activity data for LULUCF is essential in developing national greenhouse gas inventories, national communications, biennial update reports, and nationally determined contributions to meet international commitments under climate change. Collect Earth is a free, publicly accessible software for monitoring dynamics between all land use classes: forestlands, croplands, grasslands, wetlands, settlements, and other lands. Collect Earth supports countries in monitoring the trends in land use and land cover over time by applying a sample-based approach and generating reliable, high-quality, consistent, accurate, transparent, robust, comparable, and complete activity data through augmented visual interpretation for climate change reporting. This article reports forest extent estimates in Azerbaijan, analyzing 7782 0.5-ha sampling units through an augmented visual interpretation of very high spatial and temporal resolution images on the Google Earth platform. The results revealed that in 2016, tree cover existed in 31.9% of total land, equal to 2,751,167 ha and 1,301,188 ha or 15.1% of the total land, with a 5.4% sampling error covered by forests. The estimate is 15 to 25% higher than the previous estimates, equal to 169,418 to 260,888 ha of forest that was never reported in previous studies.
土地利用、土地利用变化和林业（LULUCF）在气候变化减缓方面至关重要。为了编制国家温室气体清单、国家信息通报、两年期更新报告以及国家自主贡献，以履行气候变化方面的国际承诺，必须为 LULUCF 编制或收集活动数据。Collect Earth 是一款免费的、公众可访问的软件，用于监测所有土地利用类型（林地、耕地、草地、湿地、住区和其他土地）之间的动态。Collect Earth 通过采用基于样本的方法，并通过对谷歌地球平台上的高时空分辨率图像进行增强的目视解释，生成可靠、高质量、一致、准确、透明、稳健、可比和完整的活动数据，支持各国监测土地利用和土地覆盖的变化趋势，用于气候变化报告。本文报告了阿塞拜疆的森林面积估计，通过对谷歌地球平台上高时空分辨率图像的增强视觉解释，分析了 7782 个 0.5 公顷的采样单元。结果表明，2016 年，树木覆盖的土地占总土地的 31.9%，相当于 2751167 公顷和 1301188 公顷，或占总土地的 15.1%，其中 5.4%的采样误差由森林覆盖。这一估计值比以前的估计值高出 15%至 25%，相当于 169418 至 260888 公顷以前的研究从未报告过的森林。
