[HTML][HTML] Prediction of potato crop yield using precision agriculture techniques

KA Al-Gaadi, AA Hassaballa, EK Tola, AG Kayad… - PloS one, 2016 - journals.plos.org
Crop growth and yield monitoring over agricultural fields is an essential procedure for food
security and agricultural economic return prediction. The advances in remote sensing have …

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

H Hong, B Pradhan, DT Bui, C Xu… - … , Natural Hazards and …, 2017 - Taylor & Francis
Suichuan is a mountainous area at the Jiangxi province in Central China, where rainfall-
induced landslides occur frequently. The purpose of this study is to assess landslide …

An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image

B Pradhan, U Hagemann, MS Tehrany… - Computers & …, 2014 - Elsevier
Extraction of the flooded areas from synthetic aperture radar (SAR) and especially TerraSAR-
X data is one of the most challenging tasks in the flood management and planning. SAR …

Data fusion technique using wavelet transform and Taguchi methods for automatic landslide detection from airborne laser scanning data and quickbird satellite …

B Pradhan, MN Jebur, HZM Shafri… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Landslide mapping is indispensable for efficient land use management and planning.
Landslide inventory maps must be produced for various purposes, such as to record the …

Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau

Y Cui, D Long, Y Hong, C Zeng, J Zhou, Z Han, R Liu… - Journal of …, 2016 - Elsevier
Soil moisture is a key variable in the exchange of water and energy between the land
surface and the atmosphere, especially over the Tibetan Plateau (TP) which is climatically …

[HTML][HTML] Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure

AK Ahlmer, M Cavalli, K Hansson… - Environmental earth …, 2018 - Springer
The expected increase in precipitation and temperature in Scandinavia, and especially short-
time heavy precipitation, will increase the frequency of flooding. Urban areas are the most …

Manifestation of LiDAR-derived parameters in the spatial prediction of landslides using novel ensemble evidential belief functions and support vector machine models …

MN Jebur, B Pradhan… - IEEE Journal of Selected …, 2014 - ieeexplore.ieee.org
Landslide susceptibility mapping is indispensable for disaster management and planning
development operations in mountainous regions. The potential use of light detection and …

A multimodal data fusion and deep neural networks based technique for tea yield estimation in Pakistan using satellite imagery

Z Ramzan, HMS Asif, I Yousuf, M Shahbaz - IEEE Access, 2023 - ieeexplore.ieee.org
Achieving food security has become a major challenge for society. Crop yield estimation is
essential for crop monitoring to ensure food security. Manual crop yield estimation is …

[HTML][HTML] A spatio-temporal continuous soil moisture dataset over the Tibet Plateau from 2002 to 2015

Y Cui, C Zeng, J Zhou, H Xie, W Wan, L Hu, W Xiong… - Scientific Data, 2019 - nature.com
Surface soil moisture is a key variable in the exchange of water and energy between the
land surface and the atmosphere, and critical to meteorology, hydrology, and ecology. The …

Detection of vertical slope movement in highly vegetated tropical area of Gunung pass landslide, Malaysia, using L-band InSAR technique

MN Jebur, B Pradhan, MS Tehrany - Geosciences Journal, 2014 - Springer
Landslides are one of the most dangerous natural hazards in the world which have
significant negative impact on so many lives and properties. Interferometric Synthetic …