Detecting geothermal anomalies using Landsat 8 thermal infrared remotely sensed data

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

identifying geothermal resources using remotely sensed data

geothermal energy serves as a renewable and clean energy. thanks to its great advantages such as relatively harmless, low costs and environmental friendly, it may be a good substitute for fossil fuels. in the present study, a geothermal survey is conducted in an area prone geothermal ferdows of south khorasan province in eastern iran using etm+ data landsat 7 geo-referenced to topography map in...

متن کامل

Geothermal area detection using Landsat 8 operational land imager and thermal infrared sensor data in Ardabil province, Iran

GIS and remote sensing technique with using Landsat 8 images data are very important methods for detection of geothermal resources. In this study, Land Surface Temperature (LST) for Ardabil province in northwest of Iran, was derived with the use of Landsat 8 Operational Land Imager (OLI) of 30 m spatial resolution and Thermal Infrared Sensor (TIRS) data of 100 m spatial resolution. We consider ...

متن کامل

Verification Using Remotely Sensed Data

Soil moisture is an important hydrologic variable that controls various land surface processes. In spite of its importance to agriculture and drought monitoring, soil moisture information is not widely available on a regional scale. However, long-term soil moisture information is essential for agricultural drought monitoring and crop yield prediction. The hydrologic model Soil and Water Assessm...

متن کامل

Spatiotemporal analysis of remotely sensed Landsat time series data for monitoring 32 years of urbanization

The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to iden...

متن کامل

Remotely Sensed LANDSAT Image Classification Using Neural Network Approaches

In paper, LANDSAT multispectral image is classified using several unsupervised and supervised techniques. Pixel-by-pixel classification approaches proved to be infeasible as well as time consuming in case of multispectral images. To overcome this, instead of classifying each pixel, feature based classification approach is used. Three supervised techniques namely, k-NN, BPNN and PCNN are investi...

متن کامل

ذخیره 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: International Journal of Applied Earth Observation and Geoinformation

سال: 2021

ISSN: 0303-2434

DOI: 10.1016/j.jag.2020.102283