吉林省西部耕地变化与“旱改水”时空特征研究数据集（1990-2015）

吉林省西部地区范围包括白城市和松原市两个地级市，其耕地变化数据是基于1990、2000、2010和2015年四个时期Landsat TM/ ETM /OLI影像数据，利用面向对象和决策树方法获取吉林省西部四期土地覆被数据，再分析耕地变化与旱地-水田转化特征，得到吉林省西部耕地变化与“旱改水”时空特征研究数据集。该数据集包括4组空间数据和3个表格数据。空间数据包括：（1）研究区边界数据（.shp）；（2）1990、2000、2010、2015年耕地空间分布数据（100 m x 100 m，.tif）；（3）1990-2000、2000-2010和2010-2015年耕地空间变化数据（.shp）；（4）1990-2000、2000-2010和2010-2015年耕地内部的旱地与水田之间空间转化数据（.shp）。表格数据（.xlsx）包括：（1）1990-2015年四个时期耕地面积及其变化统计数据；（2）1990-2000、2000-2010、2010-2015年旱地与其它土地覆被类型之间的转化贡献率数据；（3）1990-2000、2000-2010、2010-2015年吉林省西部水田与其它土地覆被类型之间的转化贡献率数据。数据集存储为.tif、.shp和.xlsx格式，由70个文件组成，数据量为40.8 MB（压缩为1个文件，14.9 MB）。基于该数据集的研究成果发表在《遥感技术与应用》2019年34卷第3期。

The study area of western Jilin Province encompasses two prefecture-level cities, Baicheng and Songyuan. The cultivated land change dataset was developed based on Landsat TM/ETM/OLI images acquired in four periods: 1990, 2000, 2010 and 2015. First, four-period land cover data of western Jilin Province were extracted using object-oriented and decision tree methods. Then, the characteristics of cultivated land change and dryland-paddy field conversion were analyzed, and the Research Dataset on Cultivated Land Change and Spatio-temporal Characteristics of Dryland-to-Paddy Conversion in Western Jilin Province was finally obtained.

This dataset includes 4 groups of spatial data and 3 tabular datasets. The spatial data are as follows:
1. Boundary data of the study area (.shp);
2. Spatial distribution data of cultivated land in 1990, 2000, 2010 and 2015 (100 m × 100 m, .tif);
3. Spatial change data of cultivated land during 1990-2000, 2000-2010 and 2010-2015 (.shp);
4. Spatial conversion data between dryland and paddy field within cultivated land during 1990-2000, 2000-2010 and 2010-2015 (.shp).

The tabular data (.xlsx) includes:
(1) Statistical data of cultivated land area and its changes across the four periods from 1990 to 2015;
(2) Conversion contribution rate data between dryland and other land cover types during 1990-2000, 2000-2010 and 2010-2015;
(3) Conversion contribution rate data between paddy field and other land cover types in western Jilin Province during 1990-2000, 2000-2010 and 2010-2015.

The dataset is stored in .tif, .shp and .xlsx formats, consisting of 70 individual files with a total data volume of 40.8 MB (compressed into a single archive of 14.9 MB). Research findings based on this dataset were published in *Remote Sensing Technology and Application*, Volume 34, Issue 3, 2019.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于1990年至2015年间吉林省西部（白城和松原地区）的耕地变化及'旱改水'（旱地转为水田）的时空特征。它基于多期Landsat遥感影像，采用面向对象和决策树方法生成，包含耕地空间分布、变化矢量及统计表格数据，主要用于地理和遥感应用研究，相关成果已发表于学术期刊。