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Tracking the dynamics of paddy rice planting area in 1986-2010 through time series Landsat images and phenology-based algorithms

机译:Tracking the dynamics of paddy rice planting area in 1986-2010 through time series Landsat images and phenology-based algorithms

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摘要

Agricultural land use change substantially affects climate, water, ecosystems, biodiversity, and human welfare. In recent decades, due to increasing population and food demand and the backdrop of global warming, croplands have been expanding into higher latitude regions. One such hotspot is paddy rice expansion in northeast China. However, there are no maps available for documenting the spatial and temporal patterns of continuous paddy rice expansion. In this study, we developed an automated, Landsat-based paddy rice mapping (Landsat-RICE) system that uses time series Landsat images and a phenology-based algorithm based on the unique spectral characteristics of paddy rice during the flooding/transplanting phase. As a pilot study, we analyzed all the available Landsat images from 1986 to 2010 (498 scenes) in one tile (path/row 113/27) of northeast China, which tracked paddy rice expansion in epochs with five-year increments (1986-1990, 1991-1995, 1996-2000, 2001-2005, and 2006-2010). Several maps of land cover types (barren land and built-up land; evergreen, deciduous and sparse vegetation types; and water-related land cover types such as permanent water body, mixed pixels of water and vegetation, spring flooded wetlands and summer flooded land) were generated as masks. Air temperature was used to define phenology timing and crop calendar, which were then used to select Landsat images in the phenology-based algorithms for paddy rice and masks. The resultant maps of paddy rice in the five epochs were evaluated using validation samples from multiple sources, and the overall accuracies and Kappa coefficients ranged from 84 to 95% and 0.6-0.9, respectively. The paddy rice area in the study area substantially increased from 1986 to 2010, particularly after the 1990s. This study demonstrates the potential of the Landsat-RICE system and time series Landsat images for tracking agricultural land use changes at 30-m resolution in the temperate zone with single crop cultivation. (C) 2015 Elsevier Inc. All rights reserved.
机译:农业土地用途的变化极大地影响了气候,水,生态系统,生物多样性和人类福祉。在最近的几十年中,由于人口和粮食需求的增长以及全球变暖的背景,耕地已经扩展到高纬度地区。这样的热点之一是中国东北地区的水稻扩张。但是,没有可用的地图来记录连续水稻扩张的时空格局。在这项研究中,我们开发了基于Landsat的自动化水稻作图(Landsat-RICE)系统,该系统使用Landsat图像序列和基于物候学的算法,该算法基于水稻在洪水/移栽阶段的独特光谱特征。作为一项试点研究,我们分析了1986年至2010年在中国东北的一个图块(路径/行113/27)中所有可用的Landsat图像,这些图像以5年为增量(1986- 1990、1991-1995、1996-2000、2001-2005和2006-2010)。几幅土地覆盖类型的地图(荒芜的土地和建成的土地;常绿,落叶和稀疏的植被类型;与水有关的土地覆盖类型,例如永久水体,水和植被的混合像素,春季洪水湿地和夏季洪水土地)作为遮罩生成。气温用于定义物候时机和作物日历,然后在基于物候的稻米和口罩算法中用于选择Landsat图像。使用来自多个来源的验证样本评估了五个时期的稻作图,总体准确度和Kappa系数分别为84%至95%和0.6-0.9。研究区域的水稻面积从1986年到2010年大幅增加,尤其是1990年代后。这项研究证明了Landsat-RICE系统和时间序列Landsat图像在单一作物种植的温带地区以30 m分辨率跟踪农业土地利用变化的潜力。 (C)2015 Elsevier Inc.保留所有权利。

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