Automated crop field extraction from multi-temporal Web Enabled Landsat Data
نویسندگان
چکیده
منابع مشابه
Automated Crop Type Mapping from Landsat Imagery
Knowledge of the spatial distribution of crop types is important for many environmental and human health research studies. These studies may require crop type maps over large geographical regions for multiple years, which can be derived only from satellite images. Interpretation of Landsat images using traditional image classification techniques is not feasible for such applications because of ...
متن کاملXML-Enabled Data Extraction for Web Sources
The amount of useful semi-structured data on the web continues to grow at a stunning pace. Often interesting web data are not in database systems but in HTML pages, XML pages, or text les. Data in these formats is not directly usable by standard SQL-like query processing engines that support sophisticated querying and reporting beyond keyword-based retrieval. Hence, the web users or application...
متن کاملSupport Vector Machine Classification of Object-based Data for Crop Mapping, Using Multi-temporal Landsat Imagery
Crop mapping and time series analysis of agronomic cycles are critical for monitoring land use and land management practices, and analysing the issues of agro-environmental impacts and climate change. Multi-temporal Landsat data can be used to analyse decadal changes in cropping patterns at field level, owing to its medium spatial resolution and historical availability. This study attempts to d...
متن کاملAutomated data extraction from the web with conditional models
Extracting data on the Web is an important information extraction task. Most existing approaches rely on wrappers which require human knowledge and user interaction during extraction. This paper proposes the use of conditional models as an alternative solution to this task. Deriving the strength of conditional models like maximum entropy and maximum entropy Markov models, our method offers thre...
متن کاملMapping Plastic-Mulched Farmland with Multi-Temporal Landsat-8 Data
Using plastic mulching for farmland is booming around the world. Despite its benefit of protecting crops from unfavorable conditions and increasing crop yield, the massive use of the plastic-mulching technique causes many environmental problems. Therefore, timely and effective mapping of plastic-mulched farmland (PMF) is of great interest to policy-makers to leverage the trade-off between econo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2014
ISSN: 0034-4257
DOI: 10.1016/j.rse.2014.01.006