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Response:
Calculated Shard: 31 (from laksa070)

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📍
LOCATION
Host 31 · Partition 55
laksa031
11974975279136771031
📄
INDEXABLE
CRAWLED
2 months ago
🤖
ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH2.2 months ago
History dropPASSisNull(history_drop_reason)No drop reason
Spam/banPASSfh_dont_index != 1 AND ml_spam_score = 0ml_spam_score=0
CanonicalPASSmeta_canonical IS NULL OR = '' OR = src_unparsedNot set

Page Details

PropertyValue
URLhttps://www.mdpi.com/1999-4907/17/4/419
Last Crawled2026-03-28 11:24:23 (2 months ago)
First Indexednot set
HTTP Status Code200
Content
Meta TitleLand Surface Phenology Reveals Region-Specific Hurricane Impacts Across the North Atlantic Basin (2001–2022)
Meta DescriptionHurricanes routinely damage forests across the North Atlantic Basin, yet efforts to characterize their impacts have had mixed subregional success. To elucidate these challenges, this study analyzed pre- and post-hurricane land surface phenology (LSP) for 44 moderate and strong hurricanes over 22 years using the Enhanced Vegetation Index (EVI). We statistically grouped storms based on their long-term climate attributes, then compared subregional impacts with wind speed and land cover. After accounting for wind speed, responses differed among the six subregions. The Southeast U.S. showed declines in EVI for the first winter and first year post storm, but this response was weak or absent elsewhere. The Central America region declined in the first winter but not in the subsequent growing season, while four other regions showed no increased impact with wind speed in either season. We then examined six category 4 hurricanes using a forest mask. In dry areas, drought-sensitive vegetation explained weak responses, whereas in the humid tropics, rapid refoliation or sprouting was common. These factors complicate optical remote sensing assessments. Rapid evaluations can mistake defoliation for more substantial damage, and delayed assessments can confuse EVI recovery with structural recovery. Results underscore the need for ecologically tailored monitoring approaches.
Meta Canonicalnull
Boilerpipe Text
heavy column, fetched on demand
Markdown
heavy column, fetched on demand
Readable Markdown
heavy column, fetched on demand
ML Classification
ML Categories
/Science
99.3%
/Science/Earth_Sciences
81.0%
/Science/Earth_Sciences/Atmospheric_Science
71.6%
Raw JSON
{
    "/Science": 993,
    "/Science/Earth_Sciences": 810,
    "/Science/Earth_Sciences/Atmospheric_Science": 716
}
ML Page Types
/Article
99.5%
/Article/Study_or_Research_Findings
99.2%
Raw JSON
{
    "/Article": 995,
    "/Article/Study_or_Research_Findings": 992
}
ML Intent Types
Informational
99.9%
Raw JSON
{
    "Informational": 999
}
Content Metadata
Languageen
Authornull
Publish Timenot set
Original Publish Time2026-03-28 11:24:23 (2 months ago)
RepublishedNo
Word Count (Total)13,472
Word Count (Content)10,253
Links
External Links220
Internal Links80
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedNo
Redirect Targetnull
Performance
Download Time (ms)737
TTFB (ms)711
Download Size (bytes)86,106
Location
Host ID31 (laksa031)
Partition ID55
Root Hash11974975279136771031
Unparsed URLcom,mdpi!www,/1999-4907/17/4/419 s443