five

Global Data Set of Monthly Irrigated and Rainfed Crop Areas around the Year 2000 (MIRCA2000)|农业数据数据集|水资源管理数据集

收藏
DataONE2014-09-25 更新2024-06-27 收录
农业数据
水资源管理
下载链接:
https://search.dataone.org/view/Global_Data_Set_of_Monthly_Irrigated_and_Rainfed_Crop_Areas_around_the_Year_2000_(MIRCA2000).xml
下载链接
链接失效反馈
资源简介:
A global data set of monthly irrigated and rainfed crop growing areas around the year 2000 (MIRCA2000) was developed to support global and continental-scale studies on food security and water use. MIRCA2000 provides both irrigated and rainfed crop areas of 26 crop classes for each month of the year for 402 spatial units. The data set covers all major food crops (including regionally important ones such as wheat, rice, maize, barley, rye, millet, sorghum, soybeans, sunflower, potatoes, cassava, sugar cane, sugar beet, oil palm, rape seed/canola, roundnuts/peanuts, pulses, citrus, date palm, grapes/vine, cocoa, coffee), major water-consuming crops (cotton), and unspecified other crops (other perennial crops, other annual crops, fodder grasses). The data set refers to the period 1998-2002 and has a spatial resolution of 5 arc-minutes by 5 arc-minutes (about 9.2 km by 9.2 km at the equator). The data set is consistent with irrigated area statistics of the AQUASTAT program of the Food and Agriculture Organization of the United Nations (FAO) and with version 4.0.1 of the Global Map of Irrigation Areas (GMIA). At the cell-level, there is also consistency with total cropland extent and harvested crop areas provided by the Center for Sustainability and the Global Environment (SAGE) of the University of Wisconsin at Madison. In the future, the data set will be improved, e.g. with a better spatial resolution of crop calendars and an improved crop distribution algorithm. Data available for download: Monthly Growing Area Grids (MGAG) for 26 Irrigated and Rainfed Crops. For each of the 26 irrigated and 26 rainfed crop classes there is one file containing the 4320 x 2160 grid cells, 12 values indicating the monthly growing areas in hectares. Cell Specific List of Growing Periods (Cropping Periods List, CPL). ASCII text files indicating for each grid cell, each irrigated crop and each related sub-crop the growing area in hectares and additionally the month in which the growing period starts and the month in which the growing period ends. Condensed Crop Calendars (CCC) for 26 Irrigated and Rainfed Crops. ASCII text files providing each of the 402 spatial units (or entities) for each crop and sub-crop, growing area, start and end month of the cropping periods. Crops are listed separately for irrigated and rainfed crops. Calendar Units (spatial units). The 402 used spatial units (or entities) are presented as a ASCII list with codes and names (about 10 KB), and a ASCII-grid of unit codes with 5 arc-minute resolution. Related MIRCA2000 products can be found through the download page http://www.geo.uni-frankfurt.de/ipg/ag/dl/forschung/MIRCA/data_download/index.html, e.g.: Annual Harvested Area Grids for 26 Irrigated and Rainfed Crops [Besides for grids for each crops (irrigated and rainfed), also sums for all irrigated crops (AHI), rainfed crops (AHR), and irrigated and rainfed crops alltogether (total AHI+AHR) are provided]. Maximum Monthly Growing Area Grids (MMGAG) for 26 Irrigated and Rainfed Crops [Maximum monthly area within the year of the given crop. This product is designed for people who want to run their own crop model]. Maximum Monthly Cropped Area Grids (MMCAG) for either All Irrigated or All Rainfed Crops [Maximum monthly area within the year of all irrigated or rainfed crops. Please note, that the sum of both is not the overall maximum monthly area, as the month of the maximum can be different in either case.]. Cell Area Grid. Oak Ridge National Laboratory (ORNL) also provides the Global Data Set of Monthly Irrigated and Rainfed Crop Areas around the Year 2000 (MIRCA2000), but in GeoTiff format. ORNL used Matlab to convert data from binary format to ESRI ASCII Grid format, and then used ArcGIS to convert data from ESRI ASCII Grid format to GeoTIFF format. ORNL georectified the data by setting coordinate reference system to be EPSG:4326, spatial extent to be global (-180, -90, 180, 90), and spatial resolution to be 0.0833333333. The processed GeoTIFF data was fed into ORNL DAAC Web Map Service v1.1.1 (WMS), Web Coverage Service v1.0.0 (WCS), and Spatial Data Access Tool (SDAT) to provide data visualization and distribution capabilities. According to MIRCA2000, 25% of the global harvested areas are irrigated, with a cropping intensity (including fallow land) of 1.12, as compared to 0.84 for the sum of rainfed and irrigated harvested crops. For the dominant crops [rice (1.7 million km2 harvested area), wheat (2.1 million km2), and maize (1.5 million km2)], roughly 60%, 30%, and 20% of the harvested areas are irrigated, respectively, as are half of citrus, sugar cane, and cotton areas. While wheat and maize are the crops with the largest rainfed harvested areas (1.5 million km2 and 1.2 million km2, respectively), rice is clearly the crop with the largest irrigated harvested area (1.0 million km2), followed by wheat (0.7 million km2) and maize (0.3 million km2). Using MIRCA2000, 33% of global crop production and 44% of total cereal production were determined to come from irrigated agriculture. Source: Portmann, F.T., S. Siebert, and P. Döll. 2010. MIRCA2000 Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling. GLOBAL BIOGEOCHEMICAL CYCLES, VOL. 24, GB1011, 24 PP., 2010 doi:10.1029/2008GB003435
创建时间:
2014-11-17
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

中国交通事故深度调查(CIDAS)数据集

交通事故深度调查数据通过采用科学系统方法现场调查中国道路上实际发生交通事故相关的道路环境、道路交通行为、车辆损坏、人员损伤信息,以探究碰撞事故中车损和人伤机理。目前已积累深度调查事故10000余例,单个案例信息包含人、车 、路和环境多维信息组成的3000多个字段。该数据集可作为深入分析中国道路交通事故工况特征,探索事故预防和损伤防护措施的关键数据源,为制定汽车安全法规和标准、完善汽车测评试验规程、

北方大数据交易中心 收录

YOLO Drone Detection Dataset

为了促进无人机检测模型的开发和评估,我们引入了一个新颖且全面的数据集,专门为训练和测试无人机检测算法而设计。该数据集来源于Kaggle上的公开数据集,包含在各种环境和摄像机视角下捕获的多样化的带注释图像。数据集包括无人机实例以及其他常见对象,以实现强大的检测和分类。

github 收录

农业农作物生长全周期数据集

农业农作物生长全周期数据集通过整合农作物、农场面积、刺激类型、肥料用量、杀虫剂使用量、产量、土壤类型、季节和用水量等多维度数据,实现农业生产的精准化管理和可持续发展。

浙江大数据交易服务平台 收录

Subway Dataset

该数据集包含了全球多个城市的地铁系统数据,包括车站信息、线路图、列车时刻表、乘客流量等。数据集旨在帮助研究人员和开发者分析和模拟城市交通系统,优化地铁运营和乘客体验。

www.kaggle.com 收录

VisDrone2019

VisDrone2019数据集由AISKYEYE团队在天津大学机器学习和数据挖掘实验室收集,包含288个视频片段共261,908帧和10,209张静态图像。数据集覆盖了中国14个不同城市的城市和乡村环境,包括行人、车辆、自行车等多种目标,以及稀疏和拥挤场景。数据集使用不同型号的无人机在各种天气和光照条件下收集,手动标注了超过260万个目标边界框,并提供了场景可见性、对象类别和遮挡等重要属性。

github 收录