Comparison Spatial Pattern of Land Surface Temperature with Mono Window Algorithm and Split Window Algorithm: A Case Study in South Tangerang, Indonesia

机译：与单窗算法和分裂窗口算法的陆地温度的比较空间模式 - 以印度尼西亚南塘坊为例

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In this paper, two methods to retrieve the Land Surface Temperature (LST) from thermal infrared data supplied by band 10 and 11 of the Thermal Infrared Sensor (TIRS) onboard the Landsat 8 is compared. The first is mono window algorithm developed by Qin et al. and the second is split window algorithm by Rozenstein et al. The purpose of this study is to perform the spatial distribution of land surface temperature, as well as to determine more accurate algorithm for retrieving land surface temperature by calculated root mean square error (RMSE). Finally, we present comparison the spatial distribution of land surface temperature by both of algorithm, and more accurate algorithm is split window algorithm refers to the root mean square error (RMSE) is 7.69°C.

机译：在本文中，比较了两种方法，可以比较兰德拉特8的热红外传感器（Tirs）的带10和11所提供的热红外数据从隆起8中提供的热红外数据。第一个是Qin等人开发的单声道窗口算法。第二个是Rozenstein等人的拆分窗口算法。本研究的目的是执行陆地表面温度的空间分布，以及通过计算的根均方误差（RMSE）来确定用于检索陆地温度的更准确的算法。最后，我们提出了对算法两种算法的陆地表面温度的空间分布，更准确的算法是分离窗口算法的算法是指根均方误差（RMSE）为7.69°C。

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《International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring》|2017年|642p|共6页
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Tasya Bunai; Rokhmatuloh; Adi Wibowo;
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1. Longitudinal study of land surface temperature (LST) using mono- and split-window algorithms and its relationship with NDVI and NDBI over selected metro cities of India [J] . Shahfahad, Kumari Babita, Tayyab Mohammad, Arabian journal of geosciences . 2020,第19期

机译：用单体和分裂窗口算法的陆地表面温度（LST）及其与印度地铁城市的NDVI和NDBI关系的纵向研究
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机译：利用单窗口，分割窗口算法和光谱辐射模型对埃塞俄比亚十二个Wereda地表温度响应植被指数的时间序列分析数据
3. Comparison of split-window algorithms for the retrieval of surface temperatures from AVHRR data in southern Quebec [J] . Jae-Dong Jang, Alain A. Viau, Francois Anctil Canadian Journal of Remote Sensing . 2004,第2期

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4. Comparison Spatial Pattern of Land Surface Temperature with Mono Window Algorithm and Split Window Algorithm: A Case Study in South Tangerang, Indonesia [C] . Tasya Bunai, Rokhmatuloh, Adi Wibowo International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring . 2017

机译：与单窗算法和分裂窗口算法的陆地温度的比较空间模式 - 以印度尼西亚南塘坊为例
5. Discrete cosine transform-only and discrete sine transform-only windowed update algorithms for shifting data with hardware implementation. [D] . Karwal, Vikram. 2009

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6. Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window split window algorithm and spectral radiance model [O] . A.S. Mohammed Abdul Athick, K. Shankar, Hasan Raja Naqvi 2019

机译：利用单窗口分割窗口算法和光谱辐射率模型对埃塞俄比亚十二个Wereda地表温度响应植被指数的时间序列分析数据
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机译：关于埃塞俄比亚十二Wereda植被指数的陆地温度变化的时间序列分析数据，使用单窗口，分裂窗口算法和光谱光散模型

Comparison Spatial Pattern of Land Surface Temperature with Mono Window Algorithm and Split Window Algorithm: A Case Study in South Tangerang, Indonesia

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