1、搭建flask框架。

2、整合JPSS，葵花8，GF3，哨兵1，哨兵2，哨兵3，资源2号，环境1号，SNPP等遥感数据解析算法。
3、flask中添加扫描各个卫星扫描任务，定时扫描，数据入库

scan_data/__init__.py

@@ -0,0 +1,5 @@
+"""
+Author  : XinYi Song
+Time    : 2021/11/19 14:05
+Desc:
+"""

scan_data/example.py

@@ -0,0 +1,165 @@
+from xml.dom import minidom
+from osgeo import gdal
+from PIL import Image
+import numpy as np
+import os
+
+
+def uint16to8(bands, lower_percent=0.001, higher_percent=99.999):
+    """
+    拉伸图像：图片16位转8位
+    :param bands: 输入栅格数据
+    :param lower_percent: 最低百分比
+    :param higher_percent: 最高百分比
+    :return:
+    """
+    out = np.zeros_like(bands, dtype=np.uint8)
+    n = bands.shape[0]
+    for i in range(n):
+        a = 0  # np.min(band)
+        b = 255  # np.max(band)
+        c = np.percentile(bands[i, :, :], lower_percent)
+        d = np.percentile(bands[i, :, :], higher_percent)
+        t = a + (bands[i, :, :] - c) * (b - a) / (d - c)
+        t[t < a] = a
+        t[t > b] = b
+        out[i, :, :] = t
+    return out
+
+
+def createXML(metadata, xlm_file):
+    """
+    创建xlm文件并写入字典
+    :param metadata: 元数据信息
+    :param xlm_file: xlm文件
+    :return:
+    """
+    # 创建一个空的文档
+    document = minidom.Document()  # 创建DOM文档对象
+    # 创建一个根节点对象
+    root = document.createElement('ProductMetaData')
+    # 设置根节点的属性
+    # root.setAttribute('', '')
+    # 将根节点添加到文档对象中
+    document.appendChild(root)
+    # 字典转xml
+    for key in metadata:
+        # 创建父节点
+        node_name = document.createElement(key)
+        # 给父节点设置文本
+        node_name.appendChild(document.createTextNode(str(metadata[key])))
+        # 将各父节点添加到根节点
+        root.appendChild(node_name)
+    # 写入xlm文档
+    with open(xlm_file, 'w', encoding='utf-8') as f:
+        document.writexml(f, indent='\t', newl='\n', addindent='\t', encoding='utf-8')
+    f.close()
+
+
+def GetJPSSData(in_file, xml_path, thumbnail_path):
+    """
+    获取联合极轨卫星系统（JPSS-1）元数据：NOAA-20(Joint Polar Satellite System spacecraft)
+    :param xml_path:
+    :param thumbnail_path:
+    :param in_file:
+    :return: 元数据字典
+    """
+    try:
+        # 生成缩略图
+        in_path, basename = os.path.split(in_file)
+        ThumbnailName = os.path.splitext(basename)[0] + "_thumb.jpg"
+        ThumbnailPath = os.path.join(thumbnail_path, ThumbnailName)
+
+        gdal.SetConfigOption("GDAL_FILENAME_IS_UTF8", "YES")
+        in_datasets = gdal.Open(in_file)
+        meta_data = in_datasets.GetMetadata()
+        # 取出子数据集
+        datasets = in_datasets.GetSubDatasets()
+        red_data = gdal.Open(datasets[0][0]).ReadAsArray()
+        nir_data = gdal.Open(datasets[3][0]).ReadAsArray()
+        swir_data = gdal.Open(datasets[9][0]).ReadAsArray()
+        img_data = np.array([red_data, nir_data, swir_data])
+        img_data = uint16to8(img_data)
+        # Array转Image
+        img_data2 = np.transpose(img_data, (1, 2, 0))
+        img_data2 = img_data2[:, :, ::-1]
+        img = Image.fromarray(img_data2)
+        # 压缩图片大小
+        if img_data.shape[1] > img_data.shape[2]:
+            width = 512
+            height = int(width / img_data.shape[1] * img_data.shape[2])
+        else:
+            height = 512
+            width = int(height / img_data.shape[1] * img_data.shape[2])
+        img.thumbnail((width, height))
+        img.save(ThumbnailPath, "PNG")
+
+        # 释放内存
+        del in_datasets
+        del img_data
+        del img_data2
+        del img
+
+        # 生成XML文件
+        xmlFileName = os.path.splitext(basename)[0] + ".xml"
+        xmlPath = os.path.join(xml_path, xmlFileName)
+        createXML(meta_data, xmlPath)
+
+        # 产品日期
+        ProductionTime = meta_data['ProductionTime']
+        StartTime = meta_data['StartTime']
+        EndTime = meta_data['EndTime']
+
+        #  其他信息
+        ImageGSD = str(meta_data['LongName']).split(" ")[-1]
+        Bands = str(meta_data['title']).split(" ")[1]
+
+        # 中心经纬度
+        productUpperLeftLat = meta_data['NorthBoundingCoordinate']  # 左上纬度
+        productUpperLeftLong = meta_data['WestBoundingCoordinate']  # 左上经度
+        productUpperRightLat = meta_data['NorthBoundingCoordinate']  # 右上纬度
+        productUpperRightLong = meta_data['EastBoundingCoordinate']  # 右上经度
+        productLowerLeftLat = meta_data['SouthBoundingCoordinate']  # 左下纬度
+        productLowerLeftLong = meta_data['WestBoundingCoordinate']  # 左下经度
+        productLowerRightLat = meta_data['SouthBoundingCoordinate']  # 右下纬度
+        productLowerRightLong = meta_data['EastBoundingCoordinate']  # 右下纬度
+
+        # 边界几何
+        boundaryGeomStr = f'POLYGON(({productUpperLeftLong} {productUpperLeftLat},' \
+                          f'{productUpperRightLong} {productUpperRightLat},' \
+                          f'{productLowerRightLong} {productLowerRightLat},' \
+                          f'{productLowerLeftLong} {productLowerLeftLat},' \
+                          f'{productUpperLeftLong} {productUpperLeftLat}))'
+
+        # 构建字典
+        jpss_dict = {"ProduceTime": ProductionTime,
+                     "StartTime": StartTime,
+                     "EndTime": EndTime,
+                     "CloudPercent": "",
+                     # "TopLeftLatitude": productUpperLeftLat,
+                     # "TopLeftLongitude": productUpperLeftLong,
+                     # "TopRightLatitude": productUpperRightLat,
+                     # "TopRightLongitude": productUpperRightLong,
+                     # "BottomLeftLatitude": productLowerLeftLat,
+                     # "BottomLeftLongitude": productLowerLeftLong,
+                     # "BottomRightLatitude": productLowerRightLat,
+                     # "BottomRightLongitude": productLowerRightLong,
+                     "boundaryGeomStr": boundaryGeomStr,
+                     "bands": Bands,
+                     "ImageGSD": ImageGSD,
+                     "ProjectedCoordinates": "",
+                     "CollectionCode": "",
+                     "ThumbnailPath": ThumbnailPath,
+                     "ThumbnailName": ThumbnailName,
+                     "xmlPath": xmlPath,
+                     "xmlFileName": xmlFileName,
+                     "DirectoryDepth": "day"}
+
+        # 判断字典是否为空
+        if not jpss_dict:
+            return {"code": -1, "msg": "没有满足条件的数据字典..."}
+        print(jpss_dict)
+        return jpss_dict
+    except Exception as e:
+        print(str(e))
+        return {"code": -1, "msg": str(e)}