FreeTimePicker: Find free time in your calendar Screenshot 1 2021 swift swiftui combine ☆48 HorizonCalendar: Example app for declarative, performant, calendar UI component Screenshot 1 2024 swift ☆2916 Malendar: A redesigned calendar Screenshot 1 2019 swift ☆200Color...
free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, JupyterLab, andmarimo. Leafmap is built upon several open-source packages, such asfoliumandipyleaflet(for creating...
OSM水图层 OpenStreetMap中的地表水 OSM水层是一个全球地表水数据,由OpenStreetMap中提取地表水特征生成。OSM水层栅格化地图是以WGS84为参照的。数据准备为5度x5度的瓦片(6000像素x6000像素)。文件名代表数据域的左下角像素的中心;例如,文件 "n30w120.tif "是针对域N30-N35,W120-W115。(more accurately, N29....
Google Earth Engine(GEE)——美国建筑物数据集 数据google开发连接事务 美国建筑物数据集 国土安全部、FIMA、联邦紧急事务管理局的响应地理空间办公室、橡树岭国家实验室和美国地质调查局合作,建立和维护全国第一个大于450平方英尺的所有结构的清单,用于洪水保险缓解、应急准备和响应。为了创建建筑轮廓清单,联邦紧急事务管...
Open-source Google Earth Engine 30-m evapotranspiration rates retrieval: The SEBALIGEE systemSEBALIGoogle Earth EngineOpen-sourceWater productivityFarm-scaleIn this study, an open-source Google Earth Engine-based (GEE) system is proposed, surnamed SEBALIGEE, based on the Surface Energy Balance for...
Google Earth Engine获取随机抽样点并均匀分布在栅格的不同数值区中 【2月更文挑战第14天】本文介绍在谷歌地球引擎(Google Earth Engine,GEE)中,按照给定的地表分类数据,对每一种不同的地物类型,分别加以全球范围内随机抽样点自动批量选取的方法~ 763 1 1 此星光明 | 9月前 | API Go 网络架构 GEE Colab...
Google Research - Open Buildings Collection Snippet ee.FeatureCollection("GOOGLE/Research/open-buildings/v1/polygons") 代码: // Visualization of GOOGLE/Research/open-buildings/v1/polygons. var t = ee.FeatureCollection('GOOGLE/Research/open-buildings/v1/polygons'); var t_060_065 = t.filter(...
However, Google has not open sourced the implementations for Google Earth Enterprise Client, Google Maps JavaScript API, and Google Earth API.GEE Client was deprecated together with GEEback in 2015 and by not open sourcing it, Google has essentially “killed” it. ...
CloudScore algorithm to the image. The algorithm produces a new image with a cloud band that indicates the likelihood of each pixel being cloudy. The code then masks out pixels with a high likelihood of being cloudy and displays the resulting cloud-free image...
ee.FeatureCollection("GOOGLE/Research/open-buildings/v1/polygons") 代码: 编辑 // Visualization of GOOGLE/Research/open-buildings/v1/polygons.vart=ee.FeatureCollection('GOOGLE/Research/open-buildings/v1/polygons');vart_060_065=t.filter('confidence >= 0.60 && confidence < 0.65');vart_065_...