chore: 重命名环境配置并更新依赖和文档

- 将环境配置从 `lpdaac.yml` 重命名为 `openearth.yml` 以反映更通用的工具集定位
- 在 `environment.yml` 中添加 `pystac-client` 依赖以支持更多数据源
- 更新 README.md，补充 Microsoft Planetary Computer 说明并修正环境名称引用

README.md

@@ -1,10 +1,8 @@
 # 公开RS/GIS数据自动化下载与预处理工具
 
-
-
 ## 仓库说明
 
-1. EARTHDATA 说明
+1. NASA EARTHDATA 说明
 
 - NASA 计划于2026年底将公开数据全部集成进 EARTHDATA 中
 - HLS 数据集：NASA多部门将 Landsat8/9 与 Sentinel-2A/B 统一协调至 30m，划分为：
@@ -12,7 +10,14 @@
   - S30（Sentinel-2A/B，包含其独有的 4 个红边波段）
   - 对于核心六波段（Blue/Green/Red/NIR/SWIR1/SWIR2）可直接合并使用，合并后湖北地区单格网观测频率约为3-4d
 
-2. 使用说明
+2. Miicrosoft Planetary Computer 说明
+
+- 微软行星计算机是一个平台，它使用户能够利用云计算的力量来加速环境可持续性和地球科学的发展。
+- 行星计算机将多 PB 的全球环境数据目录与直观的 API、灵活的科学环境相结合，使用户能够回答有关这些数据的全球性问题，并将这些答案提供给保护利益相关者的应用程序。
+
+3. Google Earth Engine 说明
+
+4. 使用说明
 
 - 针对HLS数据获取，基于NASA EARTHDATA官方原始脚本修复了实际使用中的bug，并添加了更多控制参数
 - 使用时不要使用魔法工具
@@ -103,7 +108,7 @@ conda init cmd.exe
 - 克隆虚拟环境 (完整复刻运行环境所有依赖)
 
 ```sh
-mamba env create -f setup/lpdaac.yml
+mamba env create -f setup/openearth.yml
 ```
 
 - 克隆虚拟环境 (复刻主要依赖环境-部分依赖可能会更新)
@@ -115,13 +120,13 @@ mamba env create -f setup/environment.yml
 - 激活虚拟环境
 
 ```sh
-mamba activate lpdaac
+mamba activate openearth
 ```
 
 - 导出当前虚拟环境
 
 ```sh
-mamba env export > setup/lpdaac.yml
+mamba env export > setup/openearth.yml
 ```
 
 ## 3 设计思路

setup/environment.yml

@@ -1,4 +1,4 @@
-name: lpdaac
+name: openearth
 channels:
   - conda-forge
 dependencies:
@@ -24,6 +24,7 @@ dependencies:
   - ray-default
   - rioxarray
   - scikit-image
+  - pystac-client
   - seaborn
   - spectral
   - selenium

setup/lpdaac.yml

@@ -1,439 +0,0 @@
-name: lpdaac
-channels:
-  - conda-forge
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-  - pycparser=2.22=pyh29332c3_1
-  - pyct=0.6.0=pyhd8ed1ab_0
-  - pydantic=2.12.0=pyh3cfb1c2_0
-  - pydantic-core=2.41.1=py312hdabe01f_0
-  - pygments=2.19.2=pyhd8ed1ab_0
-  - pykdtree=1.4.3=py312h196c9fc_1
-  - pyogrio=0.11.0=py312h6e88f47_0
-  - pyopenssl=25.1.0=pyhd8ed1ab_0
-  - pyparsing=3.2.5=pyhcf101f3_0
-  - pyproj=3.7.2=py312habbd053_2
-  - pyresample=1.34.2=py312h275cf98_0
-  - pyshp=3.0.2=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyh09c184e_7
-  - pystac=1.14.1=pyhd8ed1ab_0
-  - pystac-client=0.9.0=pyhd8ed1ab_0
-  - python=3.12.11=h3f84c4b_0_cpython
-  - python-cmr=0.13.0=pyhff2d567_1
-  - python-dateutil=2.8.2=pyhd8ed1ab_0
-  - python-dotenv=0.20.0=pyhd8ed1ab_0
-  - python-fastjsonschema=2.21.2=pyhe01879c_0
-  - python-gil=3.12.11=hd8ed1ab_0
-  - python-json-logger=2.0.7=pyhd8ed1ab_0
-  - python-tzdata=2025.2=pyhd8ed1ab_0
-  - python-utils=3.9.1=pyhff2d567_1
-  - python_abi=3.12=8_cp312
-  - pytz=2025.2=pyhd8ed1ab_0
-  - pyu2f=0.1.5=pyhd8ed1ab_1
-  - pyviz_comms=3.0.6=pyhd8ed1ab_0
-  - pywavelets=1.9.0=py312h196c9fc_1
-  - pywin32=311=py312h829343e_1
-  - pywinpty=2.0.15=py312h275cf98_1
-  - pyyaml=6.0.3=py312h05f76fc_0
-  - pyzmq=27.1.0=py312hbb5da91_0
-  - qhull=2020.2=hc790b64_5
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-  - ray-core=2.49.2=py312h6652516_2
-  - ray-default=2.49.2=py312h8c80c70_2
-  - re2=2025.06.26=h3dd2b4f_0
-  - referencing=0.36.2=pyh29332c3_0
-  - requests=2.32.5=pyhd8ed1ab_0
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-  - rfc3986-validator=0.1.1=pyh9f0ad1d_0
-  - rfc3987-syntax=1.1.0=pyhe01879c_1
-  - rioxarray=0.19.0=pyhd8ed1ab_0
-  - rpds-py=0.27.1=py312hdabe01f_1
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-  - terminado=0.18.1=pyh5737063_0
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-  - vc=14.3=h41ae7f8_31
-  - vc14_runtime=14.44.35208=h818238b_31
-  - vcomp14=14.44.35208=h818238b_31
-  - virtualenv=20.35.3=pyhd8ed1ab_0
-  - vs2015_runtime=14.44.35208=h38c0c73_31
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-  - winpty=0.4.3=4
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-  - xarray=2025.10.1=pyhd8ed1ab_0
-  - xerces-c=3.2.5=he0c23c2_2
-  - xorg-libxau=1.0.12=h0e40799_0
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-  - zstandard=0.25.0=py312he5662c2_0
-  - zstd=1.5.7=hbeecb71_2
-prefix: D:\program\miniforge3\envs\lpdaac