Forest Monitor
Viewpoint
2024-09-27 白桦落叶、落叶松变黄、樟子松绿色
53.2391899,123.9218620 低海拔处存在草甸,或难以区分的灌木丛,与周围林分存在类似林线的区分;雪后S2A影像显示,相对于森林,草甸部分发白,可用遥感指数区分
53.1818893,123.5708176 人工林;53.113919,123.593653 疑似带状疏伐;ESRI World Imagery 分辨率可区分以上两者
Organization
Home - Observatoire Satellital des Forêts d'Afrique Centrale | 中非森林卫星观测站
Homepage - Forest Research | 英国林业和树木相关研究的主要组织
ICP Forests | 评估和监测空气污染对森林影响的国际合作计划
Forest Monitoring, Land Use & Deforestation Trends | Global Forest Watch | 数据公众收集、部分数据在线访问
- LiVegetation: an investigative tool for vegetation mapping in the era of citizen science | 生物多样性,数据公众收集
GLAD | Global Land Analysis & Discovery | 马里兰大学地理科学系的全球土地分析和发现(GLAD)实验室
Global Forest Resources Assessments | Food and Agriculture Organization of the United Nations
Post
Satellites offer new ways to study ecosystems—and maybe even save them | Science | AAAS
- 遥感为在全球范围内实现更快、更标准化的监测提供了可能性。
Ecology’s remote-sensing revolution
- 卫星数据以及生态学家用来分析它们的工具比以往任何时候都更容易获得和丰富。
Software
Forest Observations | IMPACT Toolbox
- Forest | GuidosToolbox (GTB)
Data
Delivering Global Omniscience • Umbra | 高分辨率SAR影像,可用于测试
WorldCover | WORLDCOVER | 包含NDVI
Forest Monitoring, Land Use & Deforestation Trends | Global Forest Watch
- 完整的森林景观制图,不包含漠河市但有部分大兴安岭山脉区域
ibm-nasa-geospatial (IBM-NASA Prithvi Models Family) | 地理空间基础模型
- NASA-IMPACT/hls-foundation-os: This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model. | 火灾后迹地检测
- Prithvi 100M Burn Scars Demo - a Hugging Face Space by ibm-nasa-geospatial
Thesis
Modelling forest regeneration in Europe — Research@WUR
FUSING GEDI LIDAR AND TANDEM-X INSAR OBSERVATIONS FOR IMPROVED FOREST STRUCTURE AND BIOMASS MAPPING
Article
Need and vision for global medium-resolution Landsat and Sentinel-2 data products - ScienceDirect | 全球中分辨率 Landsat 和 Sentinel-2 数据产品的需求和愿景
- 土地覆盖、土地覆盖变化、燃烧面积、森林损失、植被指数、物候、动态栖息地指数、反照率、地表温度、积雪覆盖、冰范围、地表水范围和蒸散
Forestation at the right time with the right species can generate persistent carbon benefits in China | PNAS | 在正确的时间使用正确的树种植树造林可以在中国产生持久的碳效益
- 物种分布模型MaxEnt
A Global 250-m Downscaled NDVI Product from 1982 to 2018 | 1982 年至 2018 年全球 250 m 降尺度 NDVI 产品;含代码
- Use Google Earth images
- Detecting and mapping tree crowns based on convolutional neural network and Google Earth images - ScienceDirect
Remote Sensing
Pan-tropical Sentinel-2 cloud-free annual composite datasets - ScienceDirect | 处理过程可参考