Remove Microsoft Planetary Computer links

README.md

@@ -1,13 +1,12 @@
 # segment-geospatial
 
 [![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite.ipynb)
-[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/satellite.ipynb&branch=main)
 [![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite.ipynb)
 [![image](https://img.shields.io/pypi/v/segment-geospatial.svg)](https://pypi.python.org/pypi/segment-geospatial)
 [![image](https://img.shields.io/conda/vn/conda-forge/segment-geospatial.svg)](https://anaconda.org/conda-forge/segment-geospatial)
 [![Docker Pulls](https://badgen.net/docker/pulls/giswqs/segment-geospatial?icon=docker&label=pulls)](https://hub.docker.com/r/giswqs/segment-geospatial)
 [![PyPI Downloads](https://static.pepy.tech/badge/segment-geospatial)](https://pepy.tech/project/segment-geospatial)
-[![Conda Recipe](https://img.shields.io/badge/recipe-segment--geospatial-green.svg)](https://github.com/giswqs/segment-geospatial-feedstock)
+[![Conda Recipe](https://img.shields.io/badge/recipe-segment--geospatial-green.svg)](https://github.com/conda-forge/segment-geospatial-feedstock)
 [![Conda Downloads](https://anaconda.org/conda-forge/segment-geospatial/badges/downloads.svg)](https://anaconda.org/conda-forge/segment-geospatial)
 [![DOI](https://joss.theoj.org/papers/10.21105/joss.05663/status.svg)](https://doi.org/10.21105/joss.05663)
 
@@ -37,6 +36,7 @@ The **segment-geospatial** package draws its inspiration from [segment-anything-
 -   Save segmentation results as common vector formats (GeoPackage, Shapefile, GeoJSON)
 -   Save input prompts as GeoJSON files
 -   Visualize segmentation results on interactive maps
+-   Segment objects from timeseries remote sensing imagery
 
 ## Installation
 

docs/examples/automatic_mask_generator.ipynb

@@ -7,7 +7,6 @@
     "# Automatically generating object masks with SAM\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/automatic_mask_generator.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/automatic_mask_generator.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/automatic_mask_generator.ipynb)\n",
     "\n",
     "This notebook shows how to segment objects from an image using the Segment Anything Model (SAM) with a few lines of code. \n",

docs/examples/automatic_mask_generator_hq.ipynb

@@ -7,7 +7,6 @@
     "# Automatically generating object masks with HQ-SAM\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/automatic_mask_generator_hq.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/automatic_mask_generator_hq.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/automatic_mask_generator_hq.ipynb)\n",
     "\n",
     "This notebook shows how to segment objects from an image using the High-Quality Segment Anything Model ([HQ-SAM](https://github.com/SysCV/sam-hq)) with a few lines of code. "

docs/examples/box_prompts.ipynb

@@ -7,7 +7,6 @@
     "# Segmenting remote sensing imagery with box prompts\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/box_prompts.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/box_prompts.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/box_prompts.ipynb)\n",
     "\n",
     "This notebook shows how to generate object masks from text prompts with the Segment Anything Model (SAM). \n",

docs/examples/fast_sam.ipynb

@@ -7,7 +7,6 @@
     "# Segmenting remote sensing imagery with FastSAM\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/fast_sam.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/fast_sam.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/fast_sam.ipynb)\n",
     "\n",
     "FastSAM: https://github.com/CASIA-IVA-Lab/FastSAM\n",

docs/examples/input_prompts.ipynb

@@ -7,7 +7,6 @@
     "# Generating object masks from input prompts with SAM\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/input_prompts.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/input_prompts.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/input_prompts.ipynb)\n",
     "\n",
     "This notebook shows how to generate object masks from input prompts with the Segment Anything Model (SAM). \n",

docs/examples/input_prompts_hq.ipynb

@@ -7,7 +7,6 @@
     "# Generating object masks from input prompts with HQ-SAM\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/input_prompts_hq.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/input_prompts_hq.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/input_prompts_hq.ipynb)\n",
     "\n",
     "This notebook shows how to generate object masks from input prompts with the High-Quality Segment Anything Model ([HQ-SAM](https://github.com/SysCV/sam-hq)). \n",

docs/examples/satellite-predictor.ipynb

@@ -7,7 +7,6 @@
     "# Segment Anything Model for Geospatial Data \n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite-predictor.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/satellite-predictor.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite-predictor.ipynb)\n",
     "\n",
     "This notebook shows how to use segment satellite imagery using the Segment Anything Model (SAM) with a few lines of code. \n",

docs/examples/satellite.ipynb

@@ -7,7 +7,6 @@
     "# Segment Anything Model for Geospatial Data \n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/satellite.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite.ipynb)\n",
     "\n",
     "This notebook shows how to use segment satellite imagery using the Segment Anything Model (SAM) with a few lines of code. \n",

docs/examples/swimming_pools.ipynb

@@ -7,7 +7,6 @@
     "# Mapping swimming pools with text prompts\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/swimming_pools.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/swimming_pools.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/swimming_pools.ipynb)\n",
     "\n",
     "This notebook shows how to map swimming pools with text prompts and the Segment Anything Model (SAM). \n",

docs/examples/text_prompts.ipynb

@@ -7,7 +7,6 @@
     "# Segmenting remote sensing imagery with text prompts and the Segment Anything Model (SAM)\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/text_prompts.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/text_prompts.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/text_prompts.ipynb)\n",
     "\n",
     "This notebook shows how to generate object masks from text prompts with the Segment Anything Model (SAM). \n",

docs/examples/text_prompts_batch.ipynb

@@ -7,7 +7,6 @@
     "# Batch segmentation with text prompts\n",
     "\n",
     "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/text_prompts_batch.ipynb)\n",
-    "[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/text_prompts_batch.ipynb&branch=main)\n",
     "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/text_prompts_batch.ipynb)\n",
     "\n",
     "This notebook shows how to generate object masks from text prompts with the Segment Anything Model (SAM). \n",

docs/index.md

@@ -1,13 +1,12 @@
 # Welcome to samgeo
 
 [![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite.ipynb)
-[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/segment-geospatial&urlpath=lab/tree/segment-geospatial/docs/examples/satellite.ipynb&branch=main)
 [![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/segment-geospatial/blob/main/docs/examples/satellite.ipynb)
 [![image](https://img.shields.io/pypi/v/segment-geospatial.svg)](https://pypi.python.org/pypi/segment-geospatial)
 [![image](https://img.shields.io/conda/vn/conda-forge/segment-geospatial.svg)](https://anaconda.org/conda-forge/segment-geospatial)
 [![Docker Pulls](https://badgen.net/docker/pulls/giswqs/segment-geospatial?icon=docker&label=pulls)](https://hub.docker.com/r/giswqs/segment-geospatial)
 [![PyPI Downloads](https://static.pepy.tech/badge/segment-geospatial)](https://pepy.tech/project/segment-geospatial)
-[![Conda Recipe](https://img.shields.io/badge/recipe-segment--geospatial-green.svg)](https://github.com/giswqs/segment-geospatial-feedstock)
+[![Conda Recipe](https://img.shields.io/badge/recipe-segment--geospatial-green.svg)](https://github.com/conda-forge/segment-geospatial-feedstock)
 [![Conda Downloads](https://anaconda.org/conda-forge/segment-geospatial/badges/downloads.svg)](https://anaconda.org/conda-forge/segment-geospatial)
 [![DOI](https://joss.theoj.org/papers/10.21105/joss.05663/status.svg)](https://doi.org/10.21105/joss.05663)
 
@@ -37,6 +36,7 @@ The **segment-geospatial** package draws its inspiration from [segment-anything-
 -   Save segmentation results as common vector formats (GeoPackage, Shapefile, GeoJSON)
 -   Save input prompts as GeoJSON files
 -   Visualize segmentation results on interactive maps
+-   Segment objects from timeseries remote sensing imagery
 
 ## Examples