展示HN：我建立了一个卫星取证引擎，用于检测碳市场中的欺诈行为。
我厌倦了阅读那些声称是“受保护森林”的碳抵消PDF报告，但在谷歌地图上看起来却很可疑。<p>于是我构建了Silent Earth——一个独立的取证引擎（Python/React），用于对这些报告进行数学审计。<p>技术栈：
* 数据获取：抓取Verra/Gold Standard注册处的项目坐标。
* 遥测：查询Sentinel-2卫星星座（通过微软行星计算机）。
* 分析：计算NDVI（生物量密度）并对声称的区域进行光谱分析。
* AXIOM内核：将工业“停产”声明与对流层NO2水平（Sentinel-5P）进行交叉参考。<p>结果：我经常发现NDVI < 0.2（裸土）的“验证”资产。<p>该工具目前仅限本地使用以保护隐私，但我计划将数据流转移到Snowflake。<p>欢迎就地理空间技术栈（Rasterio/Shapely）或卫星API提问。
查看原文
I got tired of reading PDF reports for Carbon Offsets that claimed to be "Protected Forests" but looked suspicious on Google Maps.<p>So I built Silent Earth—a standalone forensic engine (Python/React) to audit them mathematically.<p>The Stack:
* Ingestion: Scrapes Verra/Gold Standard registries for project coordinates.
* Telemetry: Queries the Sentinel-2 Satellite Constellation (via Microsoft Planetary Computer).
* Analysis: Calculates NDVI (Biomass Density) and performs spectral analysis on the claimed area.
* AXIOM Kernel: Cross-references industrial "shutdown" claims against Tropospheric NO2 levels (Sentinel-5P).<p>The Result: I routinely find "Verified" assets with an NDVI < 0.2 (Bare Soil).<p>The tool is currently local-only for privacy, but I'm planning to move the data stream to Snowflake.<p>Happy to answer questions about the geospatial stack (Rasterio/Shapely) or the satellite APIs.