Penelitian ini bertujuan untuk mengetahui hubungan parameter pertumbuhan padi dengan data indeks vegetasi citra satelit Landsat 8. dilakukan selama enam bulan dan berlokasi di Kabupaten Klungkung, setiap kemudian dihubungkan padi. Hasil penelitian menunjukkan bahwa pola mengikuti kurve parabolik yang bentuknya dipengaruhi oleh pertumbuhannya. Terdapat erat antara nilai dari Indeks pada seluruh ...

En Venezuela y el mundo, arroz es uno de los principales cereales que cubre requerimientos calóricos del ser humano. La productividad este cultivo afectada significativamente por las malezas, dentro destaca la paja rugosa (Ischaemum rugosum Salisb.) su capacidad modificar geometría dosel, condición desventajosa llamada acamado. Esta modificación arquitectura planta analizada comparada con una p...

Leaf Area of Index (LAI) refers to half the total leaf area all crops per unit area. It is an important index represent photosynthetic capacity and biomass crops. To obtain LAI conditions summer maize in different growth stages quickly accurately, further guiding field fertilization irrigation. The Unmanned aerial vehicles (UAV) multispectral data, growing degree days, canopy height model 2020-...

Dual-pol Shannon Entropy captures the dynamic crop growth parameters. It was used to evaluate biophysical parameters of important crops using Sentinel-1 data. Improved phenology information is vital input crop-growth models. Mustard experienced increase as it advanced in but for wheat, decreased due absorption. A significant relationship at initial stages (height < 150 cm and biomass 5 kg m−2) ...

&lt;span lang="EN-US"&gt;Accurate estimation of forest canopy height is essential for monitoring ecosystems and assessing their carbon storage potential. This study evaluates the effectiveness different remote sensing techniques estimating in tropical dry forests. Using field data from airborne lidar polarimetric synthetic aperture radar (SAR), a random (RF) model was developed to estimate base...

Detecting forest degradation from satellite observation data is of great significance in revealing the process decreasing quality and giving a better understanding regional or global carbon emissions their feedbacks with climate changes. In this paper, quick applicable approach was developed for monitoring Three-North Forest Shelterbelt China multi-scale remote sensing data. Firstly, Normalized...