通过高分辨率图像和实地验证得出的地热蒸汽点热指数和植被指数

IF 3.5 2区 工程技术 Q3 ENERGY & FUELS
Asep Saepuloh , Dian Rahma Yoni , Fadhil Muhammad Akrom , Dhruba Pikha Shrestha , Freek van der Meer
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引用次数: 0

摘要

利用卫星图像从地下热数据中获取地表温度面临一些挑战,尤其是在热带地区。植被、云层和厚土层会影响探测到的地面温度。与地面测量相比,热红外图像的中低空间分辨率导致精度较低。因此,需要适当的图像校正、校准和空间分辨率,才能与地面测量的动能温度进行比较。本研究的目的是利用多变量热红外校正和高空间分辨率光学图像的红波段角度,分别探测与地下地热系统蒸汽点有关的热异常和植被异常。本研究选择印度尼西亚西爪哇的卡莫扬-贡图尔火山群作为研究区域。蒸汽田的开采和勘探被用来评估所建议方法的准确性。使用先进的星载热辐射和反射辐射计(ASTER)获取了热红外图像。采用主变量和多变量校正,利用地面热测量和土地覆盖分类来识别植被、城市地区、裸露土地和水体产生的地表发射率,从而获得与蒸汽点相关的地表温度。为了改进多变量分析和解释,我们使用 PlanetScope 的高空间分辨率图像来获取蒸汽斑的植被指数。通过大气校正 PlanetScope 图像计算出梯度红度指数,并将其作为地面蒸汽点特征的指标。为了验证和分析地面的热指数和植被指数,我们进行了实地测量。因此,我们发现校正后的地表温度和生理叶片的高异常与卡莫扬-贡图尔火山群中开放和封闭的蒸汽点一致。热指数和植被指数具有估算隐藏地热系统的潜力,可用于其他类似地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal and vegetation indices of geothermal steam spots derived by high resolution images and field verifications

Retrieving land surface temperature originating from subsurface thermal data using satellite images has some challenges, especially in tropical areas. The vegetation, cloud cover, and thick soil layers affect the detected ground temperatures. The low-to-medium spatial resolution of thermal infrared images leads to low accuracy compared with ground measurements. Therefore, proper image correction, calibration, and spatial resolution are required for comparison with kinetic temperature measured from the ground. The objective of this study is to detect thermal and vegetation anomalies related to steam spots in subsurface geothermal systems using multivariable thermal infrared corrections and the red band angle of a high spatial resolution optical image, respectively. In this study, the Kamojang–Guntur Volcanic Complex, West Java, Indonesia was selected as the study area. The exploitation and exploration of steam fields were used to assess the accuracy of the proposed method. Thermal infrared images were obtained using an advanced spaceborne thermal emission and reflection radiometer (ASTER). Principal and multivariable corrections were applied to obtain the surface temperature related to steam spots using ground thermal measurements and land cover classification to recognize surface emissivity originating from vegetation, urban areas, bare land, and water bodies. To improve multivariable analyses and interpretations, we used the high spatial resolution image of PlanetScope to obtain vegetation indices from steam spots. The gradient redness index was calculated from the atmospherically corrected PlanetScope image and used as an indicator of ground steam spot signatures. A field measurement campaign was performed to verify and analyze the thermal and vegetation indices at the ground level. Accordingly, we found that the high anomalies of the corrected surface temperature and physiological leaves were concordant with the opened and closed steam spots in the Kamojang–Guntur Volcanic Complex. Thermal and vegetation indices have the potential to estimate hidden geothermal systems and can be used in other similar areas.

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来源期刊
Geothermics
Geothermics 工程技术-地球科学综合
CiteScore
7.70
自引率
15.40%
发文量
237
审稿时长
4.5 months
期刊介绍: Geothermics is an international journal devoted to the research and development of geothermal energy. The International Board of Editors of Geothermics, which comprises specialists in the various aspects of geothermal resources, exploration and development, guarantees the balanced, comprehensive view of scientific and technological developments in this promising energy field. It promulgates the state of the art and science of geothermal energy, its exploration and exploitation through a regular exchange of information from all parts of the world. The journal publishes articles dealing with the theory, exploration techniques and all aspects of the utilization of geothermal resources. Geothermics serves as the scientific house, or exchange medium, through which the growing community of geothermal specialists can provide and receive information.
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