This study is aimed at demonstrating the feasibility of the large scale LAI inversion algorithms using red and near infrared reflectance obtained from high resolution satellite imagery. Radiances in digital counts were obtained in 10m resolution acquired on cloud free day of August 23, 2007, by the SPOT 5 high resolution geometric (HRG) instrument onmostly temperatehardwood forest located in th...

Abstract Oil palm is one of the cultivation that synonyms in Malaysia. Malaysia become biggest oil producer globally after Indonesia. In order to achieve successful yield per year, need constant effort and labor monitor them accordingly. Manual method monitoring consumes large amount time energy. Palm comes from fleshy fruit palms. Unrefined sometimes referred as red because its reddish-orange ...

Understanding land use land cover change (LULCC) is a prerequisite for urban planning and environment management. For LULCC studies in urban/suburban environments, the abundance and spatial distributions of bare soil are essential due to its biophysically different properties when compared to anthropologic materials. Soil, however, is very difficult to be identified using remote sensing technol...

Soil moisture is critical parameters in climatic and hydrological modeling and vegetation growth. Ground-based point measurement of soil moisture is liable but expensive and impractical for watershed measurement. Remote sensing measurement has provided thriving perspective for spatial and instantaneous measurement of soil moisture. Microwave measurement is effective and successful for surface s...

Wind farms (WFs) can affect the local climate, and local climate change may influence underlying vegetation. Some studies have shown that WFs affect certain aspects of the regional climate, such as temperature and rainfall. However, there is still no evidence to demonstrate whether WFs can affect local vegetation growth, a significant part of the overall assessment of WF effects. In this resear...

Timely and accurate crop yield information can ensure regional food security. In the field of predicting yields, deep learning techniques such as long short-term memory (LSTM) convolutional neural networks (CNN) are frequently employed. Many studies have shown that predictions models combining two better than those single models. Crop growth be reflected by vegetation index calculated using dat...

1  Abstract— A simple approach for correcting the effect of vegetation in the estimation of the surface soil moisture (w S) from L-band passive microwave observations is presented in this study. The approach is based on semi-empirical relationships between soil moisture and the polarized reflectance including the effect of the vegetation optical depth which is parameterized here as a function ...

A chemical factory, using a production technology of acetaldehyde with mercury catalysis, was located southeast of Qingzhen City in Guizhou Province, China. Previous research showed heavy mercury pollution through an extensive downstream area. A current investigation of the mercury distribution in ambient air, soils, and plants suggests that mobile mercury species in soils created elevated merc...

O objetivo desta pesquisa foi avaliar a utilização de medições propriedades térmicas e ópticas na caracterização do Gênero Paspalum para em telhados verdes num ambiente tropical. experimento conduzida Universidade Federal Rural Pernambuco - UFRPE Maio Junho 2019. Foi avaliado o número dezesseis acessos com hábitos crescimento vertical ou prostrado. Em condições simuladas um telhado verde, foram...

The modelling of water and energy exchanges between Soil-Vegetation and the ATmosphere (SVAT) often assimilates remotely sensed time series of Vegetation Indices (VIs). At first order, spectral combinations like the Normalized Difference Vegetation Index (NDVI) are known for their ability to witness the geographic and seasonal distribution of greenness on continental surfaces. Another usual com...