Slonecker ET, Lacerte MJ (2001) Remote sensing and mountaintop mining. Remote Sens Rev 20:293-322Slonecker, E. T. and M. J. Benger. 2002 . Remote sensing and mountaintop mining. Remote Sensing Reviews 20: 293 – 322. . i0887-3593-27-3-717-Slonecker1...
The right time application of the right amount of input is a prerequisite to optimizing profitability and sustainability with a lesser impact on environmental degradation. Such can be achieved through precision farming (PF). It can offer a great potentia
They have served as the symbol of every human desire and every human struggle; they embody the physical and psychic space where we live most intensely. Yet in recent years, anthropogenic change has thoroughly altered some of these essential places. Remote sensing offers a unique opportunity to ...
This study presents a 5-year long field campaign combined with 75 years of remote sensing data on the active, deep-seated Tellakopf rock slide in South Tyrol, Italy. Detailed field data and remote sensing techniques from airborne and terrestrial laser scanning (ALS, TLS) and orthoimages from ...
On the contrary, remote sensing and machine learning techniques save time and effort while introducing reliable feature identification with reasonable accuracy. Consequently, the current research is an attempt to apply the well-known machine learning algorithm (Support vector Machine—SVM) over Sentinel ...
It is significant to adopt deep learning algorithms and higher-resolution remote sensing images in mapping large-scale and high-precision of aeolian landform. In this study, the western part of Horqin Sandy Land was taken as the study area. Based on the
Historically, the application of satellite remote sensing for operational drought monitoring has primarily involved the use of the Normalized Difference Vegetation Index (NDVI), which is the normalized difference between the red (R) and the near infrared (NIR) band reflection in satellite images [...
Modeling the direction and magnitude of angular effects in nighttime light remote sensing Xiaoyue Tan, Xiaolin Zhu, Jin Chen, Ruilin Chen Article 112834 select article Landsat-based monitoring of southern pine beetle infestation severity and severity change in a temperate mixed forest ...
Multi-platform remote sensing using space-, airborne and ground-based sensors has become essential tools for landslide assessment and disaster-risk prevention. Over the last 30 years, the multiplicity of Earth Observation satellites mission ensures uninterrupted optical and radar imagery archives. With th...
In recent years, a number of papers reported the use of a combination of multiple classifiers to produce a single classification in the remote sensing literature (Giacinto and Roli 1997, Breim et a...