<p>A: late May and early June, corn at the vegetative growing phase, characterize with increasing NDVI values, and coinciding with the V3–V4 satellite images of this stage; B: flowering stage, July, V5 image; C: senescence period, which take place in the second part of August (NDVI values decrease; satellite image V6); and D: corn stubble, beyond mid-September (satellite image V7). Corn NDVI data evolution shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091275#pone-0091275-g006" target="_blank">Figure 6d</a>.</p
<p><b>Trends of projected high temperature frequencies (daily Tmax ≥ 35°C) in the 21</b><sup><b>st</...
Drastic increases in the cost of N fertilizer and increased public scrutiny have encouraged developm...
Efficient utilization of agricultural resources requires a better understanding of crop growth and d...
<p>A: early April, grain filling growth stage, showing intense green color and therefore high NDVI v...
Improving crop management inputs with remote sensing devices is an emerging technology. This study d...
Corn growth conditions and yield are closely dependent on climate variability. Leaf growth, measured...
Remote sensing observations that vary in response to plant growth and senescence can be used to moni...
The dates of crop developmental stages are important variables for many applications including asses...
Abstract—The dates of crop developmental stages are impor-tant variables for many applications inclu...
Continuous monitoring of crop growth status using time-series remote sensing image is essential for ...
Accurate phenological information is essential for monitoring crop development, predicting crop yiel...
<p>The abscissa is the remote image timing (V1- early April to V7 - early October, interval of appro...
AbstractCrop growth period and the length of the phenological stages on plant are directly affected ...
Remote sensing can be used to monitor cropland phenological characteristics; however, tradeoffs betw...
Integration of satellite data with agroclimatic information can result in better procedures to evalu...
<p><b>Trends of projected high temperature frequencies (daily Tmax ≥ 35°C) in the 21</b><sup><b>st</...
Drastic increases in the cost of N fertilizer and increased public scrutiny have encouraged developm...
Efficient utilization of agricultural resources requires a better understanding of crop growth and d...
<p>A: early April, grain filling growth stage, showing intense green color and therefore high NDVI v...
Improving crop management inputs with remote sensing devices is an emerging technology. This study d...
Corn growth conditions and yield are closely dependent on climate variability. Leaf growth, measured...
Remote sensing observations that vary in response to plant growth and senescence can be used to moni...
The dates of crop developmental stages are important variables for many applications including asses...
Abstract—The dates of crop developmental stages are impor-tant variables for many applications inclu...
Continuous monitoring of crop growth status using time-series remote sensing image is essential for ...
Accurate phenological information is essential for monitoring crop development, predicting crop yiel...
<p>The abscissa is the remote image timing (V1- early April to V7 - early October, interval of appro...
AbstractCrop growth period and the length of the phenological stages on plant are directly affected ...
Remote sensing can be used to monitor cropland phenological characteristics; however, tradeoffs betw...
Integration of satellite data with agroclimatic information can result in better procedures to evalu...
<p><b>Trends of projected high temperature frequencies (daily Tmax ≥ 35°C) in the 21</b><sup><b>st</...
Drastic increases in the cost of N fertilizer and increased public scrutiny have encouraged developm...
Efficient utilization of agricultural resources requires a better understanding of crop growth and d...