BioMedware, Inc,, Ann Arbor, Michigan, USA.
Int J Health Geogr. 2010 Sep 16;9:46. doi: 10.1186/1476-072X-9-46.
The recent U.S. Geological Survey policy offering Landsat satellite data at no cost provides researchers new opportunities to explore relationships between environment and health. The purpose of this study was to examine the potential for using Landsat satellite data to support pesticide exposure assessment in California.
We collected a dense time series of 24 Landsat 5 and 7 images spanning the year 2000 for an agricultural region in Fresno County. We intersected the Landsat time series with the California Department of Water Resources (CDWR) land use map and selected field samples to define the phenological characteristics of 17 major crop types or crop groups. We found the frequent overpass of Landsat enabled detection of crop field conditions (e.g., bare soil, vegetated) over most of the year. However, images were limited during the winter months due to cloud cover. Many samples designated as single-cropped in the CDWR map had phenological patterns that represented multi-cropped or non-cropped fields, indicating they may have been misclassified.
We found the combination of Landsat 5 and 7 image data would clearly benefit pesticide exposure assessment in this region by 1) providing information on crop field conditions at or near the time when pesticides are applied, and 2) providing information for validating the CDWR map. The Landsat image time-series was useful for identifying idle, single-, and multi-cropped fields. Landsat data will be limited during the winter months due to cloud cover, and for years prior to the Landsat 7 launch (1999) when only one satellite was operational at any given time. We suggest additional research to determine the feasibility of integrating CDWR land use maps and Landsat data to derive crop maps in locations and time periods where maps are not available, which will allow for substantial improvements to chemical exposure estimation.
最近美国地质调查局提供免费的 Landsat 卫星数据政策为研究人员提供了新的机会来探索环境与健康之间的关系。本研究的目的是探讨利用 Landsat 卫星数据支持加利福尼亚州农药暴露评估的潜力。
我们收集了 2000 年跨越弗雷斯诺县农业区的 24 张 Landsat 5 和 7 图像的密集时间序列。我们将 Landsat 时间序列与加利福尼亚水资源部(CDWR)土地利用图相交,并选择实地样本定义 17 种主要作物类型或作物组的物候特征。我们发现 Landsat 的频繁过境能够检测到大部分时间的农田条件(例如,裸土、植被)。然而,由于云层覆盖,图像在冬季月份受到限制。CDWR 地图中指定为单茬的许多样本具有代表多茬或无茬农田的物候模式,表明它们可能被错误分类。
我们发现 Landsat 5 和 7 图像数据的组合将通过以下方式明显有利于该地区的农药暴露评估:1)提供施药时或接近施药时农田条件的信息,2)提供 CDWR 地图的验证信息。Landsat 图像时间序列可用于识别空闲、单茬和多茬农田。由于云层覆盖,Landsat 数据将在冬季月份受到限制,并且在 Landsat 7 发射之前的几年(1999 年),任何时候只有一颗卫星运行。我们建议进行额外的研究,以确定整合 CDWR 土地利用图和 Landsat 数据以在没有地图的地点和时间生成作物图的可行性,这将大大改进化学暴露估计。