Henryh/add mangrove to esrun for inference

esrun_data/mangrove/dataset.json

@@ -0,0 +1,98 @@
+{
+    "layers": {
+      "label": {
+        "type": "vector"
+      },
+      "sentinel1": {
+        "band_sets": [
+          {
+            "bands": [
+              "vv",
+              "vh"
+            ],
+            "dtype": "float32"
+          }
+        ],
+        "data_source": {
+          "time_offset": "-180d",
+          "duration": "366d",
+          "cache_dir": "cache/planetary_computer",
+          "ingest": false,
+          "name": "rslp.satlas.data_sources.MonthlySentinel1",
+          "query": {
+            "sar:instrument_mode": {
+              "eq": "IW"
+            },
+            "sar:polarizations": {
+              "eq": [
+                "VV",
+                "VH"
+              ]
+            }
+          },
+          "query_config": {
+            "max_matches": 12
+          }
+        },
+        "type": "raster"
+      },
+      "sentinel2": {
+        "band_sets": [
+          {
+            "bands": [
+              "B02",
+              "B03",
+              "B04",
+              "B08"
+            ],
+            "dtype": "uint16"
+          },
+          {
+            "bands": [
+              "B05",
+              "B06",
+              "B07",
+              "B8A",
+              "B11",
+              "B12"
+            ],
+            "dtype": "uint16",
+            "zoom_offset": -1
+          },
+          {
+            "bands": [
+              "B01",
+              "B09"
+            ],
+            "dtype": "uint16",
+            "zoom_offset": -2
+          }
+        ],
+        "data_source": {
+          "time_offset": "-180d",
+          "duration": "366d",
+          "cache_dir": "cache/planetary_computer",
+          "harmonize": true,
+          "ingest": false,
+          "max_cloud_cover": 50,
+          "name": "rslp.satlas.data_sources.MonthlyAzureSentinel2",
+          "query_config": {
+            "max_matches": 12
+          },
+          "sort_by": "eo:cloud_cover"
+        },
+        "type": "raster"
+      },
+      "output": {
+        "band_sets": [
+          {
+            "bands": [
+              "output"
+            ],
+            "dtype": "uint8"
+          }
+        ],
+        "type": "raster"
+      }
+    }
+  }

esrun_data/mangrove/esrun.yaml

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+partition_strategies:
+  partition_request_geometry:
+    class_path: esrun.runner.tools.partitioners.grid_partitioner.GridPartitioner
+    init_args:
+      grid_size: .1 # Lat lon degrees, a random guess not sure what is really reasonable
+      output_projection:
+        class_path: rslearn.utils.geometry.Projection
+        init_args:
+          crs: EPSG:3857
+          x_resolution: 10
+          y_resolution: -10
+      use_utm: true
+
+  prepare_window_geometries:
+    class_path: esrun.runner.tools.partitioners.grid_partitioner.GridPartitioner
+    init_args:
+      grid_size: 32 # 32 based on the window creation script yawen made
+      output_projection:
+        class_path: rslearn.utils.geometry.Projection
+        init_args:
+          crs: EPSG:3857
+          x_resolution: 10
+          y_resolution: -10
+      use_utm: true
+
+postprocessing_strategies:
+  process_dataset:
+    class_path: esrun.runner.tools.postprocessors.combine_geotiff.CombineGeotiff
+
+  process_partition:
+    class_path: esrun.runner.tools.postprocessors.combine_geotiff.CombineGeotiff
+
+  process_window:
+    class_path: esrun.runner.tools.postprocessors.noop_raster.NoopRaster
+
+
+inference_results_config:
+  data_type: RASTER